Full-Stack Machine Learning Engineer - Data Products (m/f/d)

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.

Join Finanzcheck, the premier online loan comparison platform in Germany. As a recognized leader in shaping the future of the credit market, we were awarded the Kununu Top Employer Award in 2022. Become a vital part of our success story! At Finanzcheck, our engineering teams enjoy a high level of autonomy, with each team managing their own segment of the platform, including essential services and systems. We emphasize collaboration with clear technical contracts and shared standards to ensure smooth interactions. Our culture is built on deep expertise, open communication, and collective decision-making as we work towards our ambitious roadmap. YOUR NEW TEAM We are currently seeking a Senior Full Stack Engineer to join our Offers and Checkout team. Our mission is to empower loan customers by providing seamless and transparent digital services that are trustworthy and user-friendly. We strive to deliver an effortless experience from loan selection through to the checkout process, ensuring our customers feel confident and in control at every stage. Our team is cross-functional, including Frontend, Full Stack, Backend, QA, and Design roles, working closely with Product Owners and stakeholders. WHAT YOU WILL BE DOING Own and deliver complex end-to-end features for our Offers, Checkout, and Customer Area domains, utilizing React and TypeScript for the frontend and Node.js (TypeScript) for the backend. Act as a driving force for Automation and AI-driven UX development, leveraging your expertise to identify, test, and implement AI solutions that enhance our development speed and testing quality. Build and maintain stable, scalable services within a data-intensive, distributed AWS environment using Kubernetes, AWS Lambda, and event-driven architectures. Collaborate closely with Product Owners and UX Designers to create high-conversion customer journeys, prioritizing a seamless, reliable self-service experience. Drive high engineering standards for code quality, performance, and security, actively participating in technical decision-making (stack, tools, architecture) within the team. Embody the philosophy of 'you build it, you run it', taking ownership of your work and its impact on the overall system.

Join smava, Germany's leading online credit comparison platform, where we strive to make loans transparent, fair, and affordable. With over 300,000 satisfied customers, we are committed to revolutionizing the consumer loan market. Be a part of our vision to shape the future of digital lending!Our engineering teams work autonomously within defined areas of the platform, ensuring accountability and fostering collaboration. We emphasize open dialogue and joint decision-making, allowing us to effectively realize our ambitious roadmap.YOUR NEW TEAMWe are seeking a Senior Full Stack Engineer to join our Offers and Checkout team. Our goal is to empower loan customers with seamless digital services that are both trustworthy and self-service. You will contribute to a fluid experience from loan selection to checkout, ensuring our customers feel confident and in control. Our cross-functional team includes Frontend, Full Stack, Backend, QA, and Design roles, all working closely with our Product Owner and stakeholders.WHAT YOU WILL BE DOINGLead the development of complex end-to-end features in our Offers, Checkout, and Customer Area domains, utilizing React and TypeScript for the frontend and Node.js (TypeScript) for the backend.Champion Automation and AI-driven UX enhancements, employing your expertise to identify, test, and implement AI solutions that improve our development speed and testing quality.Develop and maintain robust, scalable services in a data-intensive, distributed AWS environment, leveraging Kubernetes, AWS Lambda, and event-driven architectures.Collaborate with Product Owners and UX Designers to create high-conversion customer journeys, focusing on a seamless and trustworthy self-service experience.Promote high engineering standards for code quality, performance, and security, actively participating in technical decision-making regarding the stack, tools, and architecture.Embrace the philosophy of 'you build it, you run it, you own it'.

Join the innovative team at zeal-network as a Senior Full Stack Next.js Developer. In this pivotal role, you will leverage your expertise to design, develop, and implement advanced web applications using Next.js. You will work collaboratively with cross-functional teams to create seamless user experiences and drive project success.

Join our innovative team at dreessommerse as a talented (Senior) Full-Stack Developer specializing in Web Technologies. In this role, you will be instrumental in designing, developing, and maintaining cutting-edge web applications that enhance user experiences. You will collaborate with cross-functional teams to deliver robust solutions that meet our clients' needs.

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 AppLike as a Senior Machine Learning Engineer, where you'll play a pivotal role in developing cutting-edge algorithms and models that elevate our mobile gaming experience. Collaborate with cross-functional teams to innovate and implement machine learning solutions that enhance user engagement and optimize performance metrics.

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.

At Akeno, a Senior Engineer is not merely a title; it's a badge of honor! This role signifies a proven track record of crafting successful products, overcoming complex production challenges, and mastering the art of delivering quality solutions efficiently. As a Senior Full-Stack Engineer, you'll oversee features from conception to completion, engaging with both front-end and back-end technologies, and occasionally diving into UX design.You will join our Applications Team, a group of seasoned professionals who are collaborative and supportive. We foster an environment where you can lead and innovate without the constraints of traditional roles like dedicated architects or tech leads, as we believe true seniors can draft designs that enhance collective outcomes.Your ResponsibilitiesDevelop cutting-edge software that enables clients to save millionsTransform our software into a fully self-service, enterprise-ready solutionDrive feature enhancements from inception to rolloutImplement bug fixes that prevent recurrenceEstablish monitoring and testing protocols to catch issues proactivelyEnhance developer experience (DX) for accelerated development cycles

Join Statista, a leading provider of statistical data, as a Data Engineer - Tracking Infrastructure (m/f/d). In this role, you will be responsible for designing and maintaining our tracking systems, ensuring data accuracy and accessibility. Collaborate with cross-functional teams to optimize data workflows and enhance 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.

Note: This is a software engineering positionAt Applike, we are seeking a passionate Product Engineer who prioritizes the purpose behind their creations alongside the process of building. In this role, you'll manage features from inception to deployment, collaborating with a nimble team while embracing AI tools as your primary means of development. As a Product Engineer, your engineering expertise will be complemented by your instinct to question the rationale of your projects, assess their functionality, and identify areas for improvement. This sense of curiosity is essential and distinguishes this position from conventional engineering roles.With the aid of AI tools that can enhance your coding efficiency, we expect you to leverage that capability to produce more, think more critically about product development, and evolve as a multifaceted builder. While you won't start as a product manager, those who adopt an ownership mindset are encouraged to grow into product ownership roles within our organization.If you've ever pursued a personal project out of genuine curiosity—be it a game, tool, or application—we would love to hear about your experience.

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.

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

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?

Kickstart your career in technology – become a Machine and Plant Operator!If you have a knack for craftsmanship, a passion for technology, and wish to dive into exciting production processes right after school, you are in the right place! During your two-year apprenticeship, you will learn to operate cutting-edge machines and equipment, produce high-quality products, and actively contribute to shaping manufacturing processes. The block instruction at the vocational school takes place in Neumünster, allowing you to effectively connect theory with practice. Join our team and lay the foundation for a secure future in a forward-oriented profession.As a Machine and Plant Operator, you will take on engaging and diverse tasks such as:Operating, setting up, and monitoring machines and production systemsConfiguring equipment for various production processesInspecting materials and finished products for quality and dimensional accuracyPerforming maintenance and cleaning tasks on machinesContributing to the optimization of workflows and production processesThroughout your training, you will acquire not only technical skills but also learn to take responsibility for product quality and the smooth operation of production.Our OfferWe ensure a great work-life balance! Our structured working hours in early and late shifts allow you to harmonize family, leisure, and work.Your starting salary in the first year will be €1,044 gross, increasing to €1,143 gross in the second year, along with vacation pay, Christmas bonuses, and annual salary adjustments.Our goal is for you to stay with us after your apprenticeship: you will receive a structured onboarding and practical training. This maximizes your chances of being hired permanently and growing with us in the long term.Enjoy a career with flavor: you will receive monthly free beverage allowances, allowing you to enjoy top-notch coffee or cocoa after work.We care about our employees and regularly bring joy with birthday and Christmas gifts.We offer further benefits...

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.