Senior Data Operations Engineer

Join the dynamic team at Vattenfall as a Senior Data Operations Engineer. In this pivotal role, you will be responsible for managing and optimizing our data operations, ensuring the integrity and availability of data across our systems. You will collaborate with cross-functional teams to enhance our data architecture and drive innovative solutions that support our business objectives.

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.

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.

Join ABOUT YOU as a Senior Data Scientist specializing in search engine technologies. In this dynamic role, you will leverage your analytical expertise to enhance our search capabilities, driving user engagement and satisfaction. Collaborate with cross-functional teams to develop innovative algorithms and machine learning models that improve search relevance and performance.

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.

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.

At Akeno, we are pioneering the development of cutting-edge AI-native production planning and scheduling software tailored for process industries and pharmaceutical manufacturing. Our solution is deeply complex and serves large enterprise clients where effective planning is critical to success.We are seeking a highly skilled Senior Solutions Engineer specializing in AI and Operations Research for Planning and Scheduling. This role encompasses the entire post-sales lifecycle, which includes implementation handover, go-live support, steady-state operations, and ongoing value delivery. Unlike a consulting role, your primary focus will be ensuring customer success with our product while continuously integrating your insights back into our offerings to enhance each implementation.As the most senior technical representative on the customer-facing side, you will connect product, engineering, and the operational realities of our clients. You will significantly influence how we develop our support and enablement functions as we grow.

As a Principal Data Engineer at ThoughtWorks, you will play a pivotal role in shaping the data strategy and architecture for our diverse clients. You will lead innovative projects, leveraging your expertise in data engineering to develop scalable data pipelines, optimize data processing, and ensure data quality. Collaborating with cross-functional teams, you will inspire others to adopt data-driven solutions and foster a culture of continuous improvement.

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.

Join adjoe and shape the future of mobile advertising! We are at the forefront of innovation, leveraging cutting-edge AI technology and first-party data to redefine the monetization landscape for app publishers. Our solutions, such as Playtime and Arcade, are rapidly becoming the leading rewarded advertising channels worldwide, enhancing user engagement, retention, and generating revenue.As we expand into programmatic advertising with the intelligent bidding capabilities of adjoe Ads, we connect app developers with over 600 million users globally, enabling scalable growth. With a robust $100 million backing from Bertelsmann, and offices in Hamburg, Boston, Singapore, and Tokyo, adjoe is poised to transform the app and advertising experience.Your Team: Anti-Fraud SolutionsThe Anti-Fraud Solutions team at adjoe addresses one of the most pressing challenges in the adtech industry: combating fraud, which accounts for approximately 25% of global mobile ad expenditures. We have developed state-of-the-art systems designed to ensure that fraud does not hinder our partners' success.Our solution is powered by custom mobile SDKs for Android and iOS, capable of assessing device integrity and identifying unauthorized modifications such as Xposed frameworks, Magisk modules, or jailbroken devices. Our distributed cloud infrastructure, utilizing SQS and Kafka, handles billions of events daily, promptly flagging suspicious activity in real-time, while Go-based microservices offer responses in milliseconds, with DynamoDB serving as our database.For analysts committed to fraud prevention, this role involves working with the latest technologies to consistently outmaneuver even the most innovative cheating tactics.

Role Overview AppLike is seeking a Senior Data Scientist in Hamburg. This role focuses on data analysis, machine learning, and statistical modeling to inform business decisions and strengthen product offerings. What You Will Do Develop algorithms and statistical models to improve products and user experience Work with teams across the company to spot and pursue opportunities where data can drive business solutions Collaboration This position involves close collaboration with colleagues from various departments to turn data insights into practical results for the business.

Join our dynamic team as a Senior Data Scientist specializing in Search Engine technologies. This role is pivotal in enhancing our search capabilities, using advanced analytics and machine learning to drive user engagement and optimize search results.You will collaborate with cross-functional teams to design and implement innovative solutions that enhance our product offerings. Your expertise will be crucial in analyzing large datasets and deriving actionable insights to improve overall performance.

At Statista, we pride ourselves on being the world's premier business data platform, dedicated to delivering trustworthy and user-friendly data alongside a diverse array of data analytics products and services. Our mission is to empower individuals across the globe to make informed, fact-based decisions.Founded in Hamburg in 2007, Statista has rapidly expanded into a global enterprise, with offices in key cities including London, New York, Berlin, and Tokyo. Our ongoing growth is a testament to our success and continually opens up new avenues for development and career advancement for our employees.We cherish and celebrate our diverse culture, welcoming everyone for who they are. Your background, appearance, and preferences are appreciated here—whether you favor bar graphs over pie charts, your unique story is valued. Join us in writing the next chapter of your career.Are you ready to embark on this journey with us?

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

Join our innovative team at ABOUT YOU GmbH as a Senior Data Analyst specializing in Recommendation Systems. In this role, you will leverage your analytical skills to enhance our recommendation algorithms, driving personalization for our users. Your expertise will help us in analyzing user behavior and improving customer engagement through data-driven insights.

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 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.

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

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.

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!