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Experience Level
Manager
Qualifications
Your ResponsibilitiesLead and nurture a team of Data and AI engineers, setting clear objectives, conducting code reviews, and promoting professional growth. Oversee the complete development lifecycle of sophisticated Data and AI solutions, including automation frameworks and agentic workflows, to enhance data research, complex forecasting, and informed decision-making. Design, implement, and manage scalable cloud infrastructure for AI services and APIs. Identify opportunities for automation, streamline processes, and drive continuous improvement across the organization. Collaborate with stakeholders to ensure AI solutions align with company objectives and facilitate high-impact data delivery. Stay abreast of advancements in AI and automation, integrating cutting-edge techniques and tools into team projects. Your ProfileA minimum of 5 years of experience in Data Engineering, Data Operations, or Software Engineering with a solid track record in leading technical teams. Proficient in Python for developing scalable data pipelines, automation, and backend services. Familiarity with cloud infrastructure (preferably AWS: ECS, EC2, EKS, S3, Lambda), workflow orchestration (Apache Airflow), containerization (Docker), and version control (git). Strong understanding of AI principles, including foundation models, retrieval-augmented generation (RAG), prompt engineering, evaluation metrics, and the trade-offs associated with various AI methodologies. Exceptional English communication skills, both written and verbal.
About the job
At Statista, we are dedicated to providing verified and actionable data, positioning ourselves as the premier global business data platform. Our mission is to empower individuals and organizations worldwide to make informed, data-driven decisions through our suite of reliable data and innovative analytics tools.
Founded in Hamburg in 2007, Statista has rapidly expanded to become a global leader, with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth not only highlights our success but also continually opens up new avenues for career development and advancement for our talented team members.
We celebrate diversity and inclusivity, welcoming team members from all backgrounds. Your unique story contributes to our collective success—let’s continue to write it together!
Are you prepared to take the next step in your career with us?
About Statista
Statista is the world’s leading business data platform, committed to providing reliable and user-friendly data access and analytics solutions. Since our establishment in Hamburg in 2007, we have grown rapidly and now operate globally, with offices in major cities worldwide. Our focus on innovation and employee development allows us to continuously adapt and expand our services, ensuring we meet the diverse needs of our clientele.
At Statista, we are dedicated to providing verified and actionable data, positioning ourselves as the premier global business data platform. Our mission is to empower individuals and organizations worldwide to make informed, data-driven decisions through our suite of reliable data and innovative analytics tools.Founded in Hamburg in 2007, Statista has rapidly expanded to become a global leader, with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth not only highlights our success but also continually opens up new avenues for career development and advancement for our talented team members.We celebrate diversity and inclusivity, welcoming team members from all backgrounds. Your unique story contributes to our collective success—let’s continue to write it together!Are you prepared to take the next step in your career with us?
At Statista, we take pride in being the world's foremost business data platform, dedicated to empowering individuals globally with reliable and user-friendly data. Our extensive array of data analytics products and services enables people to make informed, fact-based decisions.Established in Hamburg in 2007, we have rapidly expanded to become a global entity with offices in key cities like London, New York, Berlin, and Tokyo. Our continuous growth not only reflects our success but also opens up new avenues for development and career advancement for our team members.We celebrate our diverse culture and welcome you for who you are, regardless of your background, appearance, or your preference for bar graphs over pie charts. Your unique story is important – continue to write it as part of our dynamic team.Are you prepared to embark on this journey with us?In your role as the functional lead for Data Architecture, you will oversee a cross-functional team of data engineers, establish clear priorities, and drive essential programs from inception to completion.
At Statista, we are passionate about providing the most accurate facts and data, standing as the world’s leading business data platform. Our mission is to equip individuals and organizations worldwide with reliable and user-friendly data, complemented by an array of data analytics products and services, empowering informed decision-making.Founded in Hamburg in 2007, we have rapidly expanded into a global entity, establishing offices in key cities such as London, New York, Berlin, and Tokyo. Our ongoing growth is a testament to our success and continually opens new avenues for development and career advancement for our employees.We take pride in our diverse culture and welcome everyone as they are—regardless of their background, appearance, or preference in data visualization. Your unique story is valued and contributes to our collective narrative.Are you ready to be part of our journey?About Statista Healthcare Statista Healthcare is a dedicated division of Statista, aimed at making healthcare quality transparent, measurable, and comparable across various countries, care settings, and specialties. We collaborate with prominent healthcare stakeholders globally to facilitate data-driven quality assessment and improvement, leveraging our analytical expertise alongside scalable technology and communication prowess.Our services encompass international rankings, ratings, benchmarking studies, and tailored consulting initiatives. We publish our global healthcare rankings and hospital ratings in partnership with our esteemed media collaborator Newsweek, ensuring high visibility and credibility across markets.We assist healthcare organizations in defining pertinent key performance indicators, validating and standardizing data structures, and transforming insights into actionable strategies. Central to our approach is a data-driven comprehension of healthcare quality, underpinned by robust methodologies, global comparability, and stakeholder trust.In our consulting endeavors, we aid healthcare providers and systems in developing customized KPI frameworks, standardizing and validating data processes, and extracting actionable insights that lead to measurable enhancements in patient care and overall system performance. We combine structured methodologies with hands-on execution to unlock the full potential of healthcare quality data.Your Role As a Data Engineer on our Healthcare Platform, you will oversee the end-to-end data ingestion and platform reliability. Your responsibilities will include designing and managing scalable batch and streaming pipelines, strengthening orchestration, and ensuring data quality, security, and cost efficiency. You will work closely with our Analytics Engineer, who leads data modeling, to deliver clean, well-governed data solutions.
At Statista, we define ourselves by our commitment to delivering accurate data and insights. As the world’s leading business data platform, we provide reliable and user-friendly data analytics products and services that empower individuals and organizations worldwide to make informed decisions.Founded in Hamburg in 2007, we have rapidly expanded to become a global entity with offices in prominent cities including London, New York, Berlin, and Tokyo. Our ongoing growth showcases our success and continuously creates new career and development opportunities for our employees.We celebrate and value our diverse culture. Your individuality is welcomed here, irrespective of your background, appearance, or preferences in data visualization. Your unique journey matters – continue to write it with us.Are you prepared to embark on this journey with us?Your MissionAs the Team Lead, you will foster, guide, and develop a high-performing team of Data and AI Engineers, focused on creating the next generation of automation and AI solutions for our organization. You will define the team's direction, cultivate a culture of excellence and collaboration, and ensure the delivery of dependable, scalable AI systems critical to our business.Your TasksLead, mentor, and nurture a team of Data and AI Engineers, establishing clear objectives, conducting effective one-on-ones, and aiding in their professional development.Provide technical leadership and direction by reviewing code, shaping architectural decisions, and ensuring high engineering standards throughout the team.Oversee the comprehensive delivery of advanced Data and AI-driven solutions, managing priorities, timelines, and resources effectively.Design, implement, and manage scalable cloud infrastructure for AI services and APIs, ensuring reliability, performance, and cost-effectiveness.Identify and prioritize automation opportunities with stakeholders, guiding your team to implement solutions that enhance workflows across the company.Serve as the primary liaison for your domain, collaborating with product, data, and business leaders to align your team’s focus on high-impact projects.Promote modern AI and automation practices within the team, encouraging experimentation, learning, and the integration of cutting-edge tools.
Statista Inc. is hiring a Data Engineer - Tracking Infrastructure (m/f/d) to help shape the systems that power its statistical data platform. This position is based in Hamburg or Berlin. Role overview This role centers on designing and maintaining tracking systems that collect and process data across Statista’s products. The focus is on keeping data accurate, reliable, and accessible for analytics and reporting. Collaboration Work closely with colleagues from different teams to streamline data workflows. Efforts in this area help improve how data moves through the organization and support better analytics outcomes. Key responsibilities Design and maintain tracking infrastructure Ensure data accuracy and accessibility Collaborate with cross-functional teams to optimize workflows Support enhancements to analytics capabilities
As the Head of Data Engineering at Statista, you will lead our data engineering team to architect and implement scalable data solutions that empower our data-driven decision-making process. You will collaborate closely with cross-functional teams to ensure that our data infrastructure supports the growing needs of the organization, while also mentoring and developing your team to foster a culture of innovation and excellence.
applike is looking for a Senior Data Engineer to help shape the company's data systems in Hamburg. This role centers on building, maintaining, and improving the data infrastructure that supports business decisions. Role overview The Senior Data Engineer will work closely with teams across the company to turn complex data into clear, actionable insights. The position involves designing and implementing data pipelines, as well as maintaining and optimizing them for efficiency and reliability. Main responsibilities Design, implement, and maintain data systems that support business needs Work with cross-functional teams to translate data into insights Optimize data pipelines and ensure high data quality Integrate new technologies to strengthen data architecture Impact This position plays a key role in shaping applike's data strategy and improving analytic capabilities across the organization.
Role Overview Statista Inc. is seeking a Data Engineer focused on Survey Tools to join the team in Hamburg or Berlin. This position centers on building and supporting data systems that improve how survey data is collected and managed. What You Will Do Design, implement, and maintain data systems for survey data collection Work with teams across different functions to create solutions that support analytical requirements
About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.
adjoe is a premier mobile advertising platform that specializes in developing innovative advertising and monetization strategies aimed at elevating the business performance of our app partners. As a proud member of the applike group ecosystem, adjoe boasts a sophisticated technology stack, robust financial support from Bertelsmann, and a dynamic workforce dedicated to excellence.Join Our Programmatic Data Science TeamDid you know that in-app advertisements are auctioned in real-time before being displayed across thousands of mobile applications? Numerous ad networks compete for each impression, selecting the most effective ad and determining their bid price within mere milliseconds. At adjoe, we have engineered our own ad network that engages in this competitive arena, challenging industry leaders to showcase our unique ads.In the fast-paced world of real-time bidding, our Programmatic Data Science team thrives on innovation, crafting advanced algorithms and systems that consistently outperform established industry contenders. Our methodology is grounded in extensive research on user behavior, along with the goals of publishers and advertisers, all aimed at delivering an optimal user experience. We are a nimble team that swiftly converts theoretical concepts into impactful solutions, leveraging cutting-edge technology and collaborating closely with product and business stakeholders.
Join our dynamic team at Sopra Steria as a Data Engineer specializing in Live Intelligence. In this role, you will harness the power of data to provide actionable insights and support our clients in making data-driven decisions. You will work with cutting-edge technologies and collaborate with cross-functional teams to design and implement data solutions that enhance operational efficiency.
Join Statista, the world’s premier business data platform, where we prioritize facts and data. Our mission is to provide reliable, accessible data and a suite of analytical tools that empower individuals globally to make informed, fact-based decisions.Established in Hamburg in 2007, Statista has rapidly evolved into a global enterprise, with offices in key cities like London, New York, Berlin, and Tokyo. Our ongoing growth not only reflects our success but also continuously opens new avenues for development and career advancement for our team members.We celebrate diversity and welcome individuals from all walks of life. Your unique story matters here – continue writing it as part of our team.Are you prepared to embark on this journey with us?As the functional leader for Data Architecture, you will oversee a cross-functional team of data engineers, establishing clear priorities and driving essential programs from inception to completion.
Role Overview check24 is looking for a Team Lead Fullstack Software Developer (m/f/d) to head a team focused on AI solutions within the InsurTech sector. This position is based in Hamburg. What You Will Do Lead and mentor a group of fullstack developers working on AI-driven software projects Oversee the full software development lifecycle, from initial concept to delivery Collaborate with stakeholders to gather requirements and turn them into clear technical specifications Promote teamwork and knowledge sharing within the group Ensure deliverables meet quality standards and client expectations What We Look For Experience leading software development teams Background in fullstack development and AI solutions Strong communication skills for working with developers and stakeholders Interest in InsurTech and innovative technologies This role offers the chance to shape technical direction, support team growth, and contribute to impactful projects in a growing field.
At Statista, we are passionate about transforming data into actionable insights, standing as the premier business data platform globally. We deliver reliable and user-friendly data alongside advanced analytics products and services, empowering individuals and organizations to make informed, fact-based decisions.Founded in Hamburg in 2007, Statista has rapidly evolved into a global organization with offices in key cities like London, New York, Berlin, and Tokyo. Our ongoing growth is a testament to our success and continually opens up new avenues for career advancement and personal development for our team members.We celebrate and embrace diversity, welcoming individuals from all walks of life. Your unique perspective is valued at Statista, and we encourage you to continue your story with us.Are you prepared to embark on this journey with us?About Statista Healthcare Statista Healthcare operates as a dedicated segment within Statista, aiming to enhance transparency and measurability of healthcare quality across various countries, settings, and specialties. Collaborating with prominent healthcare stakeholders worldwide, we leverage our analytical expertise and technology to facilitate data-driven quality assessments and transformations.Our offerings include international rankings, ratings, benchmarking studies, and tailored consulting projects. Our esteemed global healthcare rankings and hospital ratings, produced in partnership with Newsweek, ensure high visibility and trust across the market.We guide healthcare organizations in identifying key performance indicators, validating and harmonizing data structures, and converting insights into actionable strategies. Our methodology is rooted in a data-driven understanding of healthcare quality, emphasizing robust methodologies, global comparability, and trust among stakeholders.In our consulting endeavors, we assist healthcare providers and systems in creating customized KPI frameworks, standardizing and validating data processes, and deriving actionable insights that lead to significant enhancements in patient care and overall system performance. Our approach combines structured methodologies with practical execution to unlock the full potential of healthcare quality data.Your Role As a Data Science Consultant for Statista Healthcare, you will be an integral part of our international team of data experts, contributing to the analytical foundation of our healthcare initiatives.
Are you a seasoned expert in the field of data centers, specializing in cooling/air conditioning technology or electrical engineering? Do you possess at least five years of professional experience in the planning or execution of data center projects? Are you eager to engage with clients and planning teams while contributing to the development of sustainable infrastructures?If so, we invite you to join us as a Senior Consultant for Data Centers in our interdisciplinary construction consulting team!Develop sustainable, innovative concepts and tailored solutions to enhance energy efficiency and availability in data centers.Analyze existing technical systems (e.g., cooling systems, energy supply) and identify optimization potentials.Advise and support our clients in the planning, implementation, and optimization of technical systems in data centers.Highlight added values for all project stakeholders—from users to investors and operators to planners.Participate in exciting projects in the realms of Smart Data Centers, Artificial Intelligence, and other innovative fields.
Role Overview DEPT® is hiring a Lead Engineer (d/f/m) for its Hamburg office. This position offers a hybrid work setup. DEPT® is a Growth Invention company with more than 4,000 specialists worldwide, serving brands like Google, Lufthansa, Meta, eBay, and OpenAI. The company blends technology and marketing to deliver solutions in Brand & Media, Experience, Commerce, CRM, and Technology & Data. DEPT® is a certified B Corp and Climate Neutral since 2021. What You Will Do This Lead Engineer role sits within the Experience & Engineering team in Germany. The team combines technology and design to build digital products and campaigns that drive measurable results and shape how brands are perceived. The Lead Engineer will set the strategic course for the Engineering teams, managing a group of 7-9 people (including Team Leads and Senior Engineers). The position will move from hands-on coding toward system architecture, process improvement, and mentoring. A key focus will be championing AI-driven development across the organization. Main Responsibilities Leadership Development: Coach and mentor Team Leads and Senior Engineers, supporting their professional growth and effectiveness. AI Integration: Define and implement a plan for integrating AI tools (such as GitHub Copilot and Agentic Workflows) into engineering practices to increase efficiency and foster innovation. Operational Oversight: Oversee performance metrics, resource planning, budget, and utilization to help scale the engineering department. Strategic Collaboration: Work closely with Directors and VPs to shape DEPT®’s technology direction in the DACH region and advise key clients on technical matters. Cultural Leadership: Build and maintain an inclusive, high-performing culture that values knowledge sharing and modern engineering practices. Location Hamburg, hybrid work environment.
Join our innovative team at ABOUT YOU as a Staff Data Engineer specializing in Finance Technology. In this pivotal role, you will drive data solutions that enhance our financial systems and deliver valuable insights. Collaborate with cross-functional teams to create robust data architectures and contribute to the overall data strategy. If you are passionate about data and eager to make an impact in the finance tech sector, we want to hear from you!
AppLike is looking for a Senior Data Scientist (f/m/d) based in Hamburg. This position plays a key part in shaping the company’s approach to data-driven decision making in the mobile app sector. Role overview The Senior Data Scientist will apply advanced analytics and machine learning to uncover insights that influence both product direction and user experience. The work involves close collaboration with colleagues from different teams, aiming to improve and innovate across AppLike’s suite of mobile applications. What you will do Analyze complex data sets to identify trends and actionable findings Develop and implement machine learning models to support business goals Work with cross-functional teams to design solutions that enhance app features and user satisfaction Requirements Strong background in data analytics and machine learning Experience collaborating with teams from different disciplines Ability to translate data insights into practical recommendations
About the Role CHECK24 is hiring a Senior Fullstack Software Engineer (m/f/d) focused on AI solutions for its InsurTech platform in Hamburg. This position sits within the App & Web Full Stack team and involves building and improving applications that use artificial intelligence to advance the insurance sector. What You Will Do Design, develop, and optimize applications that integrate AI technologies for insurance products Work on both front-end and back-end features, ensuring smooth user experiences and reliable system performance Collaborate closely with team members to deliver high-quality software Participate in DevOps tasks to support deployment and operations Location This role is based in Hamburg.
Statista is a global business data platform founded in Hamburg in 2007. The company delivers accurate data and a range of analytics products, with teams based in Hamburg, London, New York, Berlin, and Tokyo. Statista emphasizes diversity and inclusion, welcoming people from all backgrounds and valuing each individual’s unique experience. Role overview The Full-Stack Machine Learning Engineer - Data Products (m/f/d) works across the technology stack to turn raw data into dependable products. The role focuses on backend services, data pipelines, integrating machine learning, and building user-facing features. Engineers in this position take responsibility for their projects from the initial concept through deployment and maintenance. What you will do Write clean, maintainable code in Python and Typescript for easy collaboration. Transform data into products used daily by customers. Apply machine learning and large language models to analyze data and enhance services. Develop and improve both customer-facing and internal services and interfaces. Oversee the full software lifecycle, including design, development, code reviews, deployment, and ongoing maintenance. Communicate clearly in English (written and spoken); German is a plus. Location This role is based in Hamburg or Berlin.
At Statista, we are dedicated to providing verified and actionable data, positioning ourselves as the premier global business data platform. Our mission is to empower individuals and organizations worldwide to make informed, data-driven decisions through our suite of reliable data and innovative analytics tools.Founded in Hamburg in 2007, Statista has rapidly expanded to become a global leader, with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth not only highlights our success but also continually opens up new avenues for career development and advancement for our talented team members.We celebrate diversity and inclusivity, welcoming team members from all backgrounds. Your unique story contributes to our collective success—let’s continue to write it together!Are you prepared to take the next step in your career with us?
At Statista, we take pride in being the world's foremost business data platform, dedicated to empowering individuals globally with reliable and user-friendly data. Our extensive array of data analytics products and services enables people to make informed, fact-based decisions.Established in Hamburg in 2007, we have rapidly expanded to become a global entity with offices in key cities like London, New York, Berlin, and Tokyo. Our continuous growth not only reflects our success but also opens up new avenues for development and career advancement for our team members.We celebrate our diverse culture and welcome you for who you are, regardless of your background, appearance, or your preference for bar graphs over pie charts. Your unique story is important – continue to write it as part of our dynamic team.Are you prepared to embark on this journey with us?In your role as the functional lead for Data Architecture, you will oversee a cross-functional team of data engineers, establish clear priorities, and drive essential programs from inception to completion.
At Statista, we are passionate about providing the most accurate facts and data, standing as the world’s leading business data platform. Our mission is to equip individuals and organizations worldwide with reliable and user-friendly data, complemented by an array of data analytics products and services, empowering informed decision-making.Founded in Hamburg in 2007, we have rapidly expanded into a global entity, establishing offices in key cities such as London, New York, Berlin, and Tokyo. Our ongoing growth is a testament to our success and continually opens new avenues for development and career advancement for our employees.We take pride in our diverse culture and welcome everyone as they are—regardless of their background, appearance, or preference in data visualization. Your unique story is valued and contributes to our collective narrative.Are you ready to be part of our journey?About Statista Healthcare Statista Healthcare is a dedicated division of Statista, aimed at making healthcare quality transparent, measurable, and comparable across various countries, care settings, and specialties. We collaborate with prominent healthcare stakeholders globally to facilitate data-driven quality assessment and improvement, leveraging our analytical expertise alongside scalable technology and communication prowess.Our services encompass international rankings, ratings, benchmarking studies, and tailored consulting initiatives. We publish our global healthcare rankings and hospital ratings in partnership with our esteemed media collaborator Newsweek, ensuring high visibility and credibility across markets.We assist healthcare organizations in defining pertinent key performance indicators, validating and standardizing data structures, and transforming insights into actionable strategies. Central to our approach is a data-driven comprehension of healthcare quality, underpinned by robust methodologies, global comparability, and stakeholder trust.In our consulting endeavors, we aid healthcare providers and systems in developing customized KPI frameworks, standardizing and validating data processes, and extracting actionable insights that lead to measurable enhancements in patient care and overall system performance. We combine structured methodologies with hands-on execution to unlock the full potential of healthcare quality data.Your Role As a Data Engineer on our Healthcare Platform, you will oversee the end-to-end data ingestion and platform reliability. Your responsibilities will include designing and managing scalable batch and streaming pipelines, strengthening orchestration, and ensuring data quality, security, and cost efficiency. You will work closely with our Analytics Engineer, who leads data modeling, to deliver clean, well-governed data solutions.
At Statista, we define ourselves by our commitment to delivering accurate data and insights. As the world’s leading business data platform, we provide reliable and user-friendly data analytics products and services that empower individuals and organizations worldwide to make informed decisions.Founded in Hamburg in 2007, we have rapidly expanded to become a global entity with offices in prominent cities including London, New York, Berlin, and Tokyo. Our ongoing growth showcases our success and continuously creates new career and development opportunities for our employees.We celebrate and value our diverse culture. Your individuality is welcomed here, irrespective of your background, appearance, or preferences in data visualization. Your unique journey matters – continue to write it with us.Are you prepared to embark on this journey with us?Your MissionAs the Team Lead, you will foster, guide, and develop a high-performing team of Data and AI Engineers, focused on creating the next generation of automation and AI solutions for our organization. You will define the team's direction, cultivate a culture of excellence and collaboration, and ensure the delivery of dependable, scalable AI systems critical to our business.Your TasksLead, mentor, and nurture a team of Data and AI Engineers, establishing clear objectives, conducting effective one-on-ones, and aiding in their professional development.Provide technical leadership and direction by reviewing code, shaping architectural decisions, and ensuring high engineering standards throughout the team.Oversee the comprehensive delivery of advanced Data and AI-driven solutions, managing priorities, timelines, and resources effectively.Design, implement, and manage scalable cloud infrastructure for AI services and APIs, ensuring reliability, performance, and cost-effectiveness.Identify and prioritize automation opportunities with stakeholders, guiding your team to implement solutions that enhance workflows across the company.Serve as the primary liaison for your domain, collaborating with product, data, and business leaders to align your team’s focus on high-impact projects.Promote modern AI and automation practices within the team, encouraging experimentation, learning, and the integration of cutting-edge tools.
Statista Inc. is hiring a Data Engineer - Tracking Infrastructure (m/f/d) to help shape the systems that power its statistical data platform. This position is based in Hamburg or Berlin. Role overview This role centers on designing and maintaining tracking systems that collect and process data across Statista’s products. The focus is on keeping data accurate, reliable, and accessible for analytics and reporting. Collaboration Work closely with colleagues from different teams to streamline data workflows. Efforts in this area help improve how data moves through the organization and support better analytics outcomes. Key responsibilities Design and maintain tracking infrastructure Ensure data accuracy and accessibility Collaborate with cross-functional teams to optimize workflows Support enhancements to analytics capabilities
As the Head of Data Engineering at Statista, you will lead our data engineering team to architect and implement scalable data solutions that empower our data-driven decision-making process. You will collaborate closely with cross-functional teams to ensure that our data infrastructure supports the growing needs of the organization, while also mentoring and developing your team to foster a culture of innovation and excellence.
applike is looking for a Senior Data Engineer to help shape the company's data systems in Hamburg. This role centers on building, maintaining, and improving the data infrastructure that supports business decisions. Role overview The Senior Data Engineer will work closely with teams across the company to turn complex data into clear, actionable insights. The position involves designing and implementing data pipelines, as well as maintaining and optimizing them for efficiency and reliability. Main responsibilities Design, implement, and maintain data systems that support business needs Work with cross-functional teams to translate data into insights Optimize data pipelines and ensure high data quality Integrate new technologies to strengthen data architecture Impact This position plays a key role in shaping applike's data strategy and improving analytic capabilities across the organization.
Role Overview Statista Inc. is seeking a Data Engineer focused on Survey Tools to join the team in Hamburg or Berlin. This position centers on building and supporting data systems that improve how survey data is collected and managed. What You Will Do Design, implement, and maintain data systems for survey data collection Work with teams across different functions to create solutions that support analytical requirements
About the Role Statista is looking for an Engineering Manager to guide the Data & Analytics Engineering team in Hamburg or Berlin. This role centers on leading projects, supporting team growth, and working closely with other groups to deliver strong data solutions for the company. What You Will Do Oversee and coordinate projects within the Data & Analytics Engineering team Mentor and support team members in their professional development Work with cross-functional teams to build and improve analytical tools and data-driven solutions Help strengthen Statista’s analytical capabilities to support informed decision-making Location This position is based in Hamburg or Berlin.
adjoe is a premier mobile advertising platform that specializes in developing innovative advertising and monetization strategies aimed at elevating the business performance of our app partners. As a proud member of the applike group ecosystem, adjoe boasts a sophisticated technology stack, robust financial support from Bertelsmann, and a dynamic workforce dedicated to excellence.Join Our Programmatic Data Science TeamDid you know that in-app advertisements are auctioned in real-time before being displayed across thousands of mobile applications? Numerous ad networks compete for each impression, selecting the most effective ad and determining their bid price within mere milliseconds. At adjoe, we have engineered our own ad network that engages in this competitive arena, challenging industry leaders to showcase our unique ads.In the fast-paced world of real-time bidding, our Programmatic Data Science team thrives on innovation, crafting advanced algorithms and systems that consistently outperform established industry contenders. Our methodology is grounded in extensive research on user behavior, along with the goals of publishers and advertisers, all aimed at delivering an optimal user experience. We are a nimble team that swiftly converts theoretical concepts into impactful solutions, leveraging cutting-edge technology and collaborating closely with product and business stakeholders.
Join our dynamic team at Sopra Steria as a Data Engineer specializing in Live Intelligence. In this role, you will harness the power of data to provide actionable insights and support our clients in making data-driven decisions. You will work with cutting-edge technologies and collaborate with cross-functional teams to design and implement data solutions that enhance operational efficiency.
Join Statista, the world’s premier business data platform, where we prioritize facts and data. Our mission is to provide reliable, accessible data and a suite of analytical tools that empower individuals globally to make informed, fact-based decisions.Established in Hamburg in 2007, Statista has rapidly evolved into a global enterprise, with offices in key cities like London, New York, Berlin, and Tokyo. Our ongoing growth not only reflects our success but also continuously opens new avenues for development and career advancement for our team members.We celebrate diversity and welcome individuals from all walks of life. Your unique story matters here – continue writing it as part of our team.Are you prepared to embark on this journey with us?As the functional leader for Data Architecture, you will oversee a cross-functional team of data engineers, establishing clear priorities and driving essential programs from inception to completion.
Role Overview check24 is looking for a Team Lead Fullstack Software Developer (m/f/d) to head a team focused on AI solutions within the InsurTech sector. This position is based in Hamburg. What You Will Do Lead and mentor a group of fullstack developers working on AI-driven software projects Oversee the full software development lifecycle, from initial concept to delivery Collaborate with stakeholders to gather requirements and turn them into clear technical specifications Promote teamwork and knowledge sharing within the group Ensure deliverables meet quality standards and client expectations What We Look For Experience leading software development teams Background in fullstack development and AI solutions Strong communication skills for working with developers and stakeholders Interest in InsurTech and innovative technologies This role offers the chance to shape technical direction, support team growth, and contribute to impactful projects in a growing field.
At Statista, we are passionate about transforming data into actionable insights, standing as the premier business data platform globally. We deliver reliable and user-friendly data alongside advanced analytics products and services, empowering individuals and organizations to make informed, fact-based decisions.Founded in Hamburg in 2007, Statista has rapidly evolved into a global organization with offices in key cities like London, New York, Berlin, and Tokyo. Our ongoing growth is a testament to our success and continually opens up new avenues for career advancement and personal development for our team members.We celebrate and embrace diversity, welcoming individuals from all walks of life. Your unique perspective is valued at Statista, and we encourage you to continue your story with us.Are you prepared to embark on this journey with us?About Statista Healthcare Statista Healthcare operates as a dedicated segment within Statista, aiming to enhance transparency and measurability of healthcare quality across various countries, settings, and specialties. Collaborating with prominent healthcare stakeholders worldwide, we leverage our analytical expertise and technology to facilitate data-driven quality assessments and transformations.Our offerings include international rankings, ratings, benchmarking studies, and tailored consulting projects. Our esteemed global healthcare rankings and hospital ratings, produced in partnership with Newsweek, ensure high visibility and trust across the market.We guide healthcare organizations in identifying key performance indicators, validating and harmonizing data structures, and converting insights into actionable strategies. Our methodology is rooted in a data-driven understanding of healthcare quality, emphasizing robust methodologies, global comparability, and trust among stakeholders.In our consulting endeavors, we assist healthcare providers and systems in creating customized KPI frameworks, standardizing and validating data processes, and deriving actionable insights that lead to significant enhancements in patient care and overall system performance. Our approach combines structured methodologies with practical execution to unlock the full potential of healthcare quality data.Your Role As a Data Science Consultant for Statista Healthcare, you will be an integral part of our international team of data experts, contributing to the analytical foundation of our healthcare initiatives.
Are you a seasoned expert in the field of data centers, specializing in cooling/air conditioning technology or electrical engineering? Do you possess at least five years of professional experience in the planning or execution of data center projects? Are you eager to engage with clients and planning teams while contributing to the development of sustainable infrastructures?If so, we invite you to join us as a Senior Consultant for Data Centers in our interdisciplinary construction consulting team!Develop sustainable, innovative concepts and tailored solutions to enhance energy efficiency and availability in data centers.Analyze existing technical systems (e.g., cooling systems, energy supply) and identify optimization potentials.Advise and support our clients in the planning, implementation, and optimization of technical systems in data centers.Highlight added values for all project stakeholders—from users to investors and operators to planners.Participate in exciting projects in the realms of Smart Data Centers, Artificial Intelligence, and other innovative fields.
Role Overview DEPT® is hiring a Lead Engineer (d/f/m) for its Hamburg office. This position offers a hybrid work setup. DEPT® is a Growth Invention company with more than 4,000 specialists worldwide, serving brands like Google, Lufthansa, Meta, eBay, and OpenAI. The company blends technology and marketing to deliver solutions in Brand & Media, Experience, Commerce, CRM, and Technology & Data. DEPT® is a certified B Corp and Climate Neutral since 2021. What You Will Do This Lead Engineer role sits within the Experience & Engineering team in Germany. The team combines technology and design to build digital products and campaigns that drive measurable results and shape how brands are perceived. The Lead Engineer will set the strategic course for the Engineering teams, managing a group of 7-9 people (including Team Leads and Senior Engineers). The position will move from hands-on coding toward system architecture, process improvement, and mentoring. A key focus will be championing AI-driven development across the organization. Main Responsibilities Leadership Development: Coach and mentor Team Leads and Senior Engineers, supporting their professional growth and effectiveness. AI Integration: Define and implement a plan for integrating AI tools (such as GitHub Copilot and Agentic Workflows) into engineering practices to increase efficiency and foster innovation. Operational Oversight: Oversee performance metrics, resource planning, budget, and utilization to help scale the engineering department. Strategic Collaboration: Work closely with Directors and VPs to shape DEPT®’s technology direction in the DACH region and advise key clients on technical matters. Cultural Leadership: Build and maintain an inclusive, high-performing culture that values knowledge sharing and modern engineering practices. Location Hamburg, hybrid work environment.
Join our innovative team at ABOUT YOU as a Staff Data Engineer specializing in Finance Technology. In this pivotal role, you will drive data solutions that enhance our financial systems and deliver valuable insights. Collaborate with cross-functional teams to create robust data architectures and contribute to the overall data strategy. If you are passionate about data and eager to make an impact in the finance tech sector, we want to hear from you!
AppLike is looking for a Senior Data Scientist (f/m/d) based in Hamburg. This position plays a key part in shaping the company’s approach to data-driven decision making in the mobile app sector. Role overview The Senior Data Scientist will apply advanced analytics and machine learning to uncover insights that influence both product direction and user experience. The work involves close collaboration with colleagues from different teams, aiming to improve and innovate across AppLike’s suite of mobile applications. What you will do Analyze complex data sets to identify trends and actionable findings Develop and implement machine learning models to support business goals Work with cross-functional teams to design solutions that enhance app features and user satisfaction Requirements Strong background in data analytics and machine learning Experience collaborating with teams from different disciplines Ability to translate data insights into practical recommendations
About the Role CHECK24 is hiring a Senior Fullstack Software Engineer (m/f/d) focused on AI solutions for its InsurTech platform in Hamburg. This position sits within the App & Web Full Stack team and involves building and improving applications that use artificial intelligence to advance the insurance sector. What You Will Do Design, develop, and optimize applications that integrate AI technologies for insurance products Work on both front-end and back-end features, ensuring smooth user experiences and reliable system performance Collaborate closely with team members to deliver high-quality software Participate in DevOps tasks to support deployment and operations Location This role is based in Hamburg.
Statista is a global business data platform founded in Hamburg in 2007. The company delivers accurate data and a range of analytics products, with teams based in Hamburg, London, New York, Berlin, and Tokyo. Statista emphasizes diversity and inclusion, welcoming people from all backgrounds and valuing each individual’s unique experience. Role overview The Full-Stack Machine Learning Engineer - Data Products (m/f/d) works across the technology stack to turn raw data into dependable products. The role focuses on backend services, data pipelines, integrating machine learning, and building user-facing features. Engineers in this position take responsibility for their projects from the initial concept through deployment and maintenance. What you will do Write clean, maintainable code in Python and Typescript for easy collaboration. Transform data into products used daily by customers. Apply machine learning and large language models to analyze data and enhance services. Develop and improve both customer-facing and internal services and interfaces. Oversee the full software lifecycle, including design, development, code reviews, deployment, and ongoing maintenance. Communicate clearly in English (written and spoken); German is a plus. Location This role is based in Hamburg or Berlin.
Apr 22, 2026
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