Data Engineer - Survey Tools (m/f/d)

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

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.

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.

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 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?

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.

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.

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 pride ourselves on being the premier global business data platform, dedicated to delivering accurate and accessible data that empowers individuals and organizations to make informed decisions.Since our inception in Hamburg in 2007, we have rapidly expanded into an international powerhouse with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth reflects our commitment to excellence and opens up numerous development and career opportunities for our team members.We celebrate diversity and welcome everyone for who they are, regardless of background or preferences. Your unique story is important—continue to shape it as part of our vibrant team.Are you ready to make an impact with us?About Statista HealthcareStatista Healthcare is a dedicated business unit within Statista, aimed at enhancing transparency and measurability of healthcare quality across various countries, settings, and specialties. We collaborate with prominent healthcare stakeholders globally to foster data-driven quality assessment and transformation through our analytical expertise and innovative technology.Our services include international rankings, benchmarking studies, and bespoke consulting projects. Our global healthcare rankings and hospital ratings, produced in partnership with our esteemed media collaborator Newsweek, are recognized for their visibility and credibility.We assist healthcare organizations in defining essential key performance indicators (KPIs), validating and harmonizing data structures, and translating insights into actionable strategies. Our approach is rooted in a data-driven understanding of healthcare quality, supported by rigorous methodologies and stakeholder trust.In our consulting projects, we empower healthcare providers and systems to develop customized KPI frameworks, standardize and validate data processes, and extract actionable insights that lead to measurable enhancements in patient care and overall system performance. Our combination of structured methodologies and practical implementation maximizes the potential of healthcare quality data.Your RoleAs an Analytics Engineer on our Healthcare Platform, you will transform diverse healthcare data into reliable, well-structured datasets and a comprehensive semantic layer for analysis and product development. Your responsibilities will include designing, implementing, and maintaining scalable data models and architectures, defining metrics and documentation, and ensuring the reliability, governance, and usability of data.

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.

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.

Join our innovative team at Ramboll as a Senior Engineer specializing in HVAC/HKLS systems with a focus on data center projects. In this role, you will leverage your expertise to design and implement advanced heating, ventilation, air conditioning, and refrigeration solutions that meet the unique demands of data centers.As a key member of our engineering team, you will collaborate with project managers and other engineers to deliver high-quality designs that enhance energy efficiency and operational performance. Your insights will play a vital role in driving sustainable practices within our projects.

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

Join Vattenfall as a Working Student in Data Science and contribute to innovative projects that shape the future of energy. You will work collaboratively within a team of data scientists, assisting in developing data-driven solutions to enhance our operational efficiency and customer satisfaction.

Join Applike as a Staff Data Scientist specializing in AdTech. You will utilize advanced analytics and machine learning techniques to drive impactful insights across our advertising products. Collaborate with cross-functional teams to enhance our data-driven strategies, optimize ad performance, and contribute to our innovative culture.

Join our dynamic team at Ramboll as a Senior Electrical Engineer specializing in data center planning. In this role, you will leverage your expertise to design and implement innovative electrical solutions for cutting-edge data centers. Your contributions will be vital in enhancing the efficiency and sustainability of our projects.

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.

adjoe is at the forefront of transforming mobile advertising. Leveraging cutting-edge AI technology, first-party data, and a team of exceptional engineers, we have optimized the offerwall experience for app publishers. Our innovative solutions, including Playtime and Arcade, represent the fastest-growing rewarded advertising channels globally, enhancing user engagement, retention, and revenue streams. Additionally, we are making strides in programmatic advertising through our advanced bidding system, adjoe Ads, creating a dynamic ecosystem that connects app developers with over 600 million users worldwide for sustainable growth. With offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is shaping the future of app and ad experiences today.Become a part of our journey. Join Our Advertising Solutions Team Our team specializes in building advanced technologies that connect advertisers with the ideal users for their apps and games. Integrated with adjoe’s machine learning models, our custom APIs process 2 billion requests daily with minimal latency. We have engineered advertising campaign management and sophisticated analytics tools that deliver actionable insights on 200 million daily users to both our internal teams and external partners. Our Go-based backend integrates seamlessly with a TypeScript React frontend, enabling complex analysis through columnar databases like Druid, providing sub-millisecond query response times, alongside MySQL, Redis, DynamoDB, and Kafka. For developers, this role offers the opportunity to work on high-performance systems that handle extensive datasets while embracing an agile development methodology.