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Experience Level
Senior
About the job
Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.
Your Responsibilities
Design and sustain an exceptional data infrastructure that underpins vital processes.
Enhance platform self-service capabilities by developing features for ETL and orchestration.
Streamline processes to maximize compute resource efficiency and minimize costs.
Implement automation solutions to ensure our infrastructure's availability around the clock.
Participate in the design and rollout of new services within our platform ecosystem.
Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.…
We are seeking a highly skilled Senior Data Engineer to join our dynamic team at repriskag in Berlin. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality and accessibility.
At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.
Team OverviewThe Card Not Present (CNP) Protect team is a dynamic, cross-functional unit within SumUp's Risk & Compliance tribe. We are dedicated to safeguarding millions of merchants by mitigating fraud in our card-not-present offerings. Our team excels in developing robust machine learning systems and data pipelines that facilitate real-time automated decision-making. We are currently enhancing our infrastructure to incorporate foundation model embeddings. This role offers significant ownership and impact, directly influencing the efficacy of our fraud detection mechanisms.Key ResponsibilitiesDesign, implement, and sustain high-quality Python-based data pipelines that support machine learning workflows, featuring real-time and near-real-time data processing.Assume complete responsibility for data quality and reliability, executing validations, automated testing, monitoring, and alerting with established SLAs.Enhance our data foundation by meticulously documenting architecture, data lineage, dataset definitions, and managing dependencies.Lead the governance of our Feature Store, refining usability and standardizing setup to enable data scientists to operate with speed and confidence.Collaborate closely with the Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to ensure safe deployment of changes to production.
Are you ready to take your career to the next level? Join dev2 as a Senior Data Engineer specializing in Python and play a pivotal role in our data-driven projects. You will work closely with cross-functional teams to design and implement scalable data solutions that drive innovation and efficiency.In this role, you will:Design, develop, and maintain data pipelines and ETL processesCollaborate with data scientists and analysts to optimize data storage and retrievalEnsure data quality and integrity through rigorous testing and validationContribute to architectural discussions and guide best practices
Join Arup and shape a sustainable future in Berlin.Design innovative solutions for tomorrow's data centres.For over 75 years, Arup has distinguished itself through its commitment to purpose, shared values, and collaborative approach, all aimed at creating a better world.Data centres are pivotal to modern infrastructure, underpinning everything from businesses to public services. Operators must ensure their facilities are efficient, sustainable, and capable of supporting mission-critical operations. Our international team in Berlin is at the forefront of designing cutting-edge and energy-efficient data centres, helping our clients achieve their performance, cost-efficiency, and sustainability goals.The OpportunityBecome part of our diverse team of dedicated design engineers and contribute to the development of high-quality, sustainable, and innovative data centre structures. You will engage in medium to large-scale mission-critical projects, overseeing every phase of design—from initial concepts to construction supervision and final handover.As a Senior Engineer Building Automation - Data Centre at Arup, your responsibilities will include:Collaborating with a multidisciplinary team of architects, engineers, and advisors.Designing controls and automation systems for the operation and monitoring of essential mechanical and electrical infrastructures throughout all project stages.Taking ownership of preparing and reviewing specific design deliverables.Partnering closely with our data centre clients and MEP designers to develop cost-effective, top-tier solutions that align with client needs and industry standards.Delivering technical content suitable for both technical and non-technical audiences, while maintaining a strong understanding of industry trends and best practices.Collaborating with colleagues across various geographical locations.
Join our dynamic data engineering tribe as a (Senior) Data Engineer, where you'll be at the forefront of our data platform, analytics, and regulatory reporting initiatives. Your expertise will be vital in owning and enhancing our data stack, building and maintaining robust data pipelines that empower our organization to thrive in a data-driven culture.Design and develop a scalable, cloud-based data platform, leveraging cutting-edge data technologies to support our data-driven operations.Craft an AWS-based data processing solution that integrates data from our internal backend services as well as external sources.Enhance our lakehouse architecture to support regulatory use cases while enabling various teams to make informed decisions, drive innovation, and achieve strategic objectives.Prepare and cleanse both structured and unstructured data, creating high-quality data models for reporting, advanced analytics, and AI applications.Design and implement testing and monitoring components to guarantee the accuracy, reliability, and performance of data pipelines.Collaborate with talented and ambitious professionals across our growing data teams and product & engineering departments to launch intelligent features for our products.Stay abreast of the latest industry trends in data engineering and cloud architecture, sharing your insights and best practices with the company.
Join Ramboll as a Senior Engineer specializing in Electrical Engineering with a focus on Data Center planning. You will play a crucial role in the design and implementation of innovative solutions that meet our clients' needs in an evolving technological landscape.
Delivery Hero is looking for a Senior Python AI Engineer to focus on logistics, data, and machine learning projects in Berlin. This position centers on developing AI-powered tools that support and improve delivery operations. Role overview This role involves designing and building applications using Python, with a strong emphasis on artificial intelligence and data science. The main goal is to create solutions that make logistics processes more efficient and help raise customer satisfaction. What you will do Develop and maintain AI-driven applications tailored for logistics challenges Apply machine learning techniques to optimize delivery workflows Work closely with teams to identify and solve data-related problems Requirements Extensive experience with Python Background in artificial intelligence, data science, and machine learning Ability to build solutions that improve operational efficiency
Join praxipal, where we are pioneering an AI-driven administrative workforce for healthcare aimed at alleviating the global shortage of medical personnel.Our medical assistants are crucial and deserve to focus on patient care rather than administrative tasks like managing callbacks, scheduling, and handling invoicing. This is why we developed Luna.Luna, our AI receptionist, efficiently manages and automates phone communications, earning the trust of over 100 medical practices. We are now expanding Luna's capabilities from voice interactions to comprehensive patient communication across all channels. Our vision is to evolve Luna into a fully-fledged AI solution that automates all administrative functions within medical practices, seamlessly integrated into existing systems.With backing from one of Europe’s premier investors, we are among the fastest-growing healthtech startups in Germany. Our diverse team includes alumni from Palantir, Amazon, SAP, the University of Cambridge, and the Hasso Plattner Institute.We are seeking a Senior Software Engineer focused on data integration to establish the technical foundation that will allow Luna to streamline workflows across numerous medical practices.
Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.
Join huzzle as an AI Data Engineer and play a vital role in shaping the future of data-driven decision-making. You will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data quality and accessibility for our AI models. If you are passionate about artificial intelligence and have a knack for turning complex data into actionable insights, we want to hear from you!
Join Almedia, a pioneering force in reshaping the marketing landscape. We are on a mission to become Germany’s second bootstrapped unicorn, already recognized as Europe’s third fastest-growing company in 2025 (FT1000).At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our advertisers’ products. Our innovative approach is transforming user acquisition strategies for some of the largest companies worldwide.Data EngineerAs a Data Engineer at Almedia, you will play a pivotal role in designing, implementing, scaling, and maintaining the code that drives our production environment. Enjoy the freedom to innovate as you develop the next generation of our data and backend platforms—building robust APIs, pipelines, and leveraging both self-managed and cloud infrastructure to deliver reliable, high-impact systems.A strong technical mindset and a passion for continual improvement are essential.
About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions, dedicated to empowering businesses with state-of-the-art, user-centric technology that streamlines marketing and recruitment processes. We are on the lookout for a skilled Data Engineer to join our dynamic team, tasked with constructing a robust infrastructure that facilitates the collection, storage, and processing of extensive data sets, ensuring reliable access to critical data that drives strategic decision-making and fosters innovation.Position Overview:The Data Engineer will play a pivotal role in designing, building, and maintaining efficient data pipelines, enabling seamless data flow across diverse systems. Collaboration with data scientists, analysts, and various stakeholders will be essential to guarantee that our data is accessible, accurate, and dependable for effective business analysis and informed decision-making.
Lead the design, development, and management of large-scale, distributed data systems that power our media and advertising solutions.Take complete ownership of our systems throughout their lifecycle, encompassing architecture, implementation, testing, deployment, operations, and ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee consistent and high-quality data delivery.Work closely with engineers, data scientists, and product teams to foster improvements, introduce innovative ideas, and uphold technical excellence.Drive continuous optimization and performance enhancements across our platforms.Exhibit curiosity and proactivity—explore emerging technologies, propose groundbreaking solutions, and elevate engineering standards.
Join Delivery Hero as a Legal Data Engineer and contribute to our innovative team in Berlin. As a part of our legal department, you will leverage data engineering skills to enhance legal processes, ensuring compliance and efficiency. You will be responsible for designing and implementing data solutions that support our legal operations, making a significant impact on our business.
Join Our Team as a Data EngineerWe are on the lookout for a talented Data Engineer to become a vital part of our Data Experience Team in the Platform Engineering Domain.The mission of Platform Engineering is to deliver reliable, high-performing, and self-service platforms that empower our product teams to create 'the bank the world loves to use.' This team is tasked with designing and maintaining scalable, secure, and compliant infrastructure solutions that oversee our core database offerings and data storage capabilities. We are searching for an experienced Data Engineer who is passionate about exploring innovative platform solutions and eager to grow within a team that prioritizes creativity and mentorship. If you are someone whose expertise is matched by your curiosity, we would love to hear from you!Your ResponsibilitiesDevelop and Implement: Create and uphold platform solutions that enhance the dependability, security, and scalability of our Database Platform infrastructure.Operational Excellence: Utilize cloud infrastructure, networking, and CI/CD best practices to enhance our operational data storage solutions.Collaborate: Work alongside Product and Analytics Teams to ensure smooth orchestration, access, and metadata management.Knowledge Sharing: Engage in technical discussions and contribute to documentation, fostering an environment of transparency and ongoing learning.Execution: Contribute to the team’s roadmap by delivering high-quality code and making infrastructure improvements.Incident Response: Take part in on-call rotations and troubleshooting efforts to uphold a stable and predictable environment.Observability: Maintain and enhance observability solutions (including metrics, logging, and tracing) to meet platform SLOs and availability targets.
At Enpal, we are more than just a company; we are a movement aiming to transform the energy landscape. As a distinguished greentech unicorn and one of the fastest-growing energy firms in Europe, we are committed to making solar energy accessible and effortless for homeowners across the continent. Our innovative approach to solar panels, heat pumps, home energy storage systems, and EV charging stations is revolutionizing the residential energy market. With our mission to empower homeowners to adopt clean energy, we are paving the way for a sustainable and decentralized energy future.As a frontrunner in the residential solar energy sector, Enpal is expanding rapidly with a clear vision: to lead Europe’s transition towards sustainable and decentralized energy generation.Job OverviewIn the Energy Platform, we manage the integration and digital operation of Enpal’s products installed in customer homes. Whether it’s controlling heat pumps, enhancing the functionality of wallboxes, or trading energy on your behalf, we provide the platform for all Enpal’s energy solutions. Our responsibilities span from the embedded engineering of our own IoT hardware to managing cloud infrastructure that processes and optimizes our fleet and crafting exceptional user experiences.As a Senior Software Engineer (f/m/x) on our team, you will play a crucial role in building and shaping a cutting-edge Data Platform at the heart of our entire solar system fleet, empowering our other teams to deliver exceptional customer experiences.We offer a dynamic work environment with speed, agility, and significant career growth potential. Our vision to make sustainable energy accessible to all can only be realized through a customer and product-centered approach, and close collaboration among software development, product management, and lean, experiment-driven business development.Join us in developing your professional skills, participating in the energy revolution, and taking ownership of the sustainable changes we wish to see in the world together! We eagerly await your application.Your Role at Enpal:Software Development. We are focused on delivering incremental value with each iteration, celebrating improvements that enhance user experiences while contributing to our climate goals.Enhancing Developer Experience. We strive to minimize late-night deployments and repetitive manual testing. Our goal is to improve stability and automate as much as possible, including load tests and vulnerability assessments.Professional Growth. We foster an environment that encourages continuous learning and development.
LivePerson is hiring a Senior Manager of Data Services in Berlin, Germany. This leadership role centers on guiding a team dedicated to building and maintaining data solutions that support business goals and improve customer engagement. Role overview The Senior Manager of Data Services sets direction for data strategy and oversees its execution. The position ensures data services meet organizational objectives and support clients in making informed decisions. Collaboration with stakeholders and team members is key to aligning data initiatives with business needs. Key responsibilities Lead and mentor a team delivering data solutions Shape data architecture and analytics capabilities Drive strategy to align data services with business priorities Support customer engagement through effective data use Requirements Experience managing data-focused teams Strong background in data architecture and analytics Ability to align data initiatives with business objectives
Intercom is a pioneering AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands as the premier customer service AI solution available, enabling businesses to provide round-the-clock, flawless customer support while significantly enhancing overall customer satisfaction. When integrated with our Helpdesk, it forms a comprehensive solution known as the Intercom Customer Service Suite, which offers AI-driven assistance for more intricate or high-touch inquiries requiring human interaction.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the benchmarks for customer service. By adhering to our core values, we continuously challenge conventions, build with agility and urgency, and consistently deliver exceptional value to our clients.What is the opportunity?The AI Group at Intercom is tasked with defining innovative machine learning features, researching suitable algorithms and technologies, and quickly deploying prototypes for our customers.We are highly product-oriented. Our team, consisting of over 50 ML scientists, engineers, designers, and researchers, collaborates closely with various departments across the organization. We prioritize rapid production cycles, often transitioning to beta testing within weeks following successful offline evaluations.We continually conduct experiments and measure the effectiveness of our AI features, employing both frequentist and Bayesian methodologies, creating dashboards for result tracking, and delving deeply into user interactions to understand success metrics amidst the complexities of stochastic AI products.We are seeking a passionate Analytics Engineer to join our AI Group and contribute to our ongoing efforts.What will I be doing?Data Platform Development: Design, develop, and oversee scalable data pipelines and ETL processes to establish a robust, analytics-ready data infrastructure.Cross-functional Collaboration: Collaborate with AI analysts, ML scientists, engineers, and business teams to comprehend data requirements and ensure the delivery of accurate, reliable, and user-friendly data solutions.Data Strategy & Governance: Drive initiatives in data modeling, ownership of data quality, management of warehouses, and production support for key operational workflows.Advanced Analytics & Insights: Perform data analysis and develop custom models to inform strategic business decisions and measure performance.Automation & Optimization: Enhance the efficiency of data collection and reporting processes.
Join our dynamic Platform tribe at SumUp, where your expertise will help us create an innovative self-service, AI-Ready Data Platform. Our Data Platform team plays a crucial role in supporting our ambitious ventures into Data, AI, and real-time analytics. We are committed to building robust and scalable infrastructure that empowers our global data community.…
We are seeking a highly skilled Senior Data Engineer to join our dynamic team at repriskag in Berlin. In this pivotal role, you will be responsible for designing, building, and maintaining scalable data pipelines that support our data-driven decision-making processes. You will work closely with data scientists, analysts, and other stakeholders to ensure data quality and accessibility.
At GALVANY, we are dedicated to transforming climate-neutral living into a reality for all. Our core focus lies in implementing effective solutions such as heat pumps, battery storage, and smart metering, making them accessible, reliable, and affordable. GALVANY-Tech is pioneering the energy transition through innovative software solutions. We are developing an AI-driven Operating System that facilitates the sales, planning, installation, and operation of heat pumps and integrated energy systems, catering to everything from single-family homes to multi-unit buildings, and operating within our Energy Community as a Virtual Power Plant.As a successful green-tech startup, we believe that sustainable impact and long-term growth can only be achieved through a robust business model. We prioritize customer value, transparency, and accountability, standing firmly for top-quality heating solutions and fostering an environment where individuals take charge and create lasting changes.The RoleAs a Senior Data Engineer at GALVANY, you will design and maintain the data infrastructure that supports our AI-based Operating System. You will process real-time energy data from heat pumps and integrated systems, construct data pipelines that empower AI models and analytics, and guarantee the integrity of data across our entire ecosystem—from individual residences to our Virtual Power Plant.
Team OverviewThe Card Not Present (CNP) Protect team is a dynamic, cross-functional unit within SumUp's Risk & Compliance tribe. We are dedicated to safeguarding millions of merchants by mitigating fraud in our card-not-present offerings. Our team excels in developing robust machine learning systems and data pipelines that facilitate real-time automated decision-making. We are currently enhancing our infrastructure to incorporate foundation model embeddings. This role offers significant ownership and impact, directly influencing the efficacy of our fraud detection mechanisms.Key ResponsibilitiesDesign, implement, and sustain high-quality Python-based data pipelines that support machine learning workflows, featuring real-time and near-real-time data processing.Assume complete responsibility for data quality and reliability, executing validations, automated testing, monitoring, and alerting with established SLAs.Enhance our data foundation by meticulously documenting architecture, data lineage, dataset definitions, and managing dependencies.Lead the governance of our Feature Store, refining usability and standardizing setup to enable data scientists to operate with speed and confidence.Collaborate closely with the Risk Platform, ML Data Platform, data scientists, software engineers, and analysts to ensure safe deployment of changes to production.
Are you ready to take your career to the next level? Join dev2 as a Senior Data Engineer specializing in Python and play a pivotal role in our data-driven projects. You will work closely with cross-functional teams to design and implement scalable data solutions that drive innovation and efficiency.In this role, you will:Design, develop, and maintain data pipelines and ETL processesCollaborate with data scientists and analysts to optimize data storage and retrievalEnsure data quality and integrity through rigorous testing and validationContribute to architectural discussions and guide best practices
Join Arup and shape a sustainable future in Berlin.Design innovative solutions for tomorrow's data centres.For over 75 years, Arup has distinguished itself through its commitment to purpose, shared values, and collaborative approach, all aimed at creating a better world.Data centres are pivotal to modern infrastructure, underpinning everything from businesses to public services. Operators must ensure their facilities are efficient, sustainable, and capable of supporting mission-critical operations. Our international team in Berlin is at the forefront of designing cutting-edge and energy-efficient data centres, helping our clients achieve their performance, cost-efficiency, and sustainability goals.The OpportunityBecome part of our diverse team of dedicated design engineers and contribute to the development of high-quality, sustainable, and innovative data centre structures. You will engage in medium to large-scale mission-critical projects, overseeing every phase of design—from initial concepts to construction supervision and final handover.As a Senior Engineer Building Automation - Data Centre at Arup, your responsibilities will include:Collaborating with a multidisciplinary team of architects, engineers, and advisors.Designing controls and automation systems for the operation and monitoring of essential mechanical and electrical infrastructures throughout all project stages.Taking ownership of preparing and reviewing specific design deliverables.Partnering closely with our data centre clients and MEP designers to develop cost-effective, top-tier solutions that align with client needs and industry standards.Delivering technical content suitable for both technical and non-technical audiences, while maintaining a strong understanding of industry trends and best practices.Collaborating with colleagues across various geographical locations.
Join our dynamic data engineering tribe as a (Senior) Data Engineer, where you'll be at the forefront of our data platform, analytics, and regulatory reporting initiatives. Your expertise will be vital in owning and enhancing our data stack, building and maintaining robust data pipelines that empower our organization to thrive in a data-driven culture.Design and develop a scalable, cloud-based data platform, leveraging cutting-edge data technologies to support our data-driven operations.Craft an AWS-based data processing solution that integrates data from our internal backend services as well as external sources.Enhance our lakehouse architecture to support regulatory use cases while enabling various teams to make informed decisions, drive innovation, and achieve strategic objectives.Prepare and cleanse both structured and unstructured data, creating high-quality data models for reporting, advanced analytics, and AI applications.Design and implement testing and monitoring components to guarantee the accuracy, reliability, and performance of data pipelines.Collaborate with talented and ambitious professionals across our growing data teams and product & engineering departments to launch intelligent features for our products.Stay abreast of the latest industry trends in data engineering and cloud architecture, sharing your insights and best practices with the company.
Join Ramboll as a Senior Engineer specializing in Electrical Engineering with a focus on Data Center planning. You will play a crucial role in the design and implementation of innovative solutions that meet our clients' needs in an evolving technological landscape.
Delivery Hero is looking for a Senior Python AI Engineer to focus on logistics, data, and machine learning projects in Berlin. This position centers on developing AI-powered tools that support and improve delivery operations. Role overview This role involves designing and building applications using Python, with a strong emphasis on artificial intelligence and data science. The main goal is to create solutions that make logistics processes more efficient and help raise customer satisfaction. What you will do Develop and maintain AI-driven applications tailored for logistics challenges Apply machine learning techniques to optimize delivery workflows Work closely with teams to identify and solve data-related problems Requirements Extensive experience with Python Background in artificial intelligence, data science, and machine learning Ability to build solutions that improve operational efficiency
Join praxipal, where we are pioneering an AI-driven administrative workforce for healthcare aimed at alleviating the global shortage of medical personnel.Our medical assistants are crucial and deserve to focus on patient care rather than administrative tasks like managing callbacks, scheduling, and handling invoicing. This is why we developed Luna.Luna, our AI receptionist, efficiently manages and automates phone communications, earning the trust of over 100 medical practices. We are now expanding Luna's capabilities from voice interactions to comprehensive patient communication across all channels. Our vision is to evolve Luna into a fully-fledged AI solution that automates all administrative functions within medical practices, seamlessly integrated into existing systems.With backing from one of Europe’s premier investors, we are among the fastest-growing healthtech startups in Germany. Our diverse team includes alumni from Palantir, Amazon, SAP, the University of Cambridge, and the Hasso Plattner Institute.We are seeking a Senior Software Engineer focused on data integration to establish the technical foundation that will allow Luna to streamline workflows across numerous medical practices.
Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.
Join huzzle as an AI Data Engineer and play a vital role in shaping the future of data-driven decision-making. You will be responsible for designing, building, and maintaining scalable data pipelines, ensuring data quality and accessibility for our AI models. If you are passionate about artificial intelligence and have a knack for turning complex data into actionable insights, we want to hear from you!
Join Almedia, a pioneering force in reshaping the marketing landscape. We are on a mission to become Germany’s second bootstrapped unicorn, already recognized as Europe’s third fastest-growing company in 2025 (FT1000).At Almedia, we empower our community of over 60 million users by rewarding them for engaging with our advertisers’ products. Our innovative approach is transforming user acquisition strategies for some of the largest companies worldwide.Data EngineerAs a Data Engineer at Almedia, you will play a pivotal role in designing, implementing, scaling, and maintaining the code that drives our production environment. Enjoy the freedom to innovate as you develop the next generation of our data and backend platforms—building robust APIs, pipelines, and leveraging both self-managed and cloud infrastructure to deliver reliable, high-impact systems.A strong technical mindset and a passion for continual improvement are essential.
About SkillersZone LLC:SkillersZone LLC stands at the forefront of affiliate marketing and recruitment software solutions, dedicated to empowering businesses with state-of-the-art, user-centric technology that streamlines marketing and recruitment processes. We are on the lookout for a skilled Data Engineer to join our dynamic team, tasked with constructing a robust infrastructure that facilitates the collection, storage, and processing of extensive data sets, ensuring reliable access to critical data that drives strategic decision-making and fosters innovation.Position Overview:The Data Engineer will play a pivotal role in designing, building, and maintaining efficient data pipelines, enabling seamless data flow across diverse systems. Collaboration with data scientists, analysts, and various stakeholders will be essential to guarantee that our data is accessible, accurate, and dependable for effective business analysis and informed decision-making.
Lead the design, development, and management of large-scale, distributed data systems that power our media and advertising solutions.Take complete ownership of our systems throughout their lifecycle, encompassing architecture, implementation, testing, deployment, operations, and ongoing evolution.Collaborate with cross-functional teams to establish robust data models, pipelines, and APIs that guarantee consistent and high-quality data delivery.Work closely with engineers, data scientists, and product teams to foster improvements, introduce innovative ideas, and uphold technical excellence.Drive continuous optimization and performance enhancements across our platforms.Exhibit curiosity and proactivity—explore emerging technologies, propose groundbreaking solutions, and elevate engineering standards.
Join Delivery Hero as a Legal Data Engineer and contribute to our innovative team in Berlin. As a part of our legal department, you will leverage data engineering skills to enhance legal processes, ensuring compliance and efficiency. You will be responsible for designing and implementing data solutions that support our legal operations, making a significant impact on our business.
Join Our Team as a Data EngineerWe are on the lookout for a talented Data Engineer to become a vital part of our Data Experience Team in the Platform Engineering Domain.The mission of Platform Engineering is to deliver reliable, high-performing, and self-service platforms that empower our product teams to create 'the bank the world loves to use.' This team is tasked with designing and maintaining scalable, secure, and compliant infrastructure solutions that oversee our core database offerings and data storage capabilities. We are searching for an experienced Data Engineer who is passionate about exploring innovative platform solutions and eager to grow within a team that prioritizes creativity and mentorship. If you are someone whose expertise is matched by your curiosity, we would love to hear from you!Your ResponsibilitiesDevelop and Implement: Create and uphold platform solutions that enhance the dependability, security, and scalability of our Database Platform infrastructure.Operational Excellence: Utilize cloud infrastructure, networking, and CI/CD best practices to enhance our operational data storage solutions.Collaborate: Work alongside Product and Analytics Teams to ensure smooth orchestration, access, and metadata management.Knowledge Sharing: Engage in technical discussions and contribute to documentation, fostering an environment of transparency and ongoing learning.Execution: Contribute to the team’s roadmap by delivering high-quality code and making infrastructure improvements.Incident Response: Take part in on-call rotations and troubleshooting efforts to uphold a stable and predictable environment.Observability: Maintain and enhance observability solutions (including metrics, logging, and tracing) to meet platform SLOs and availability targets.
At Enpal, we are more than just a company; we are a movement aiming to transform the energy landscape. As a distinguished greentech unicorn and one of the fastest-growing energy firms in Europe, we are committed to making solar energy accessible and effortless for homeowners across the continent. Our innovative approach to solar panels, heat pumps, home energy storage systems, and EV charging stations is revolutionizing the residential energy market. With our mission to empower homeowners to adopt clean energy, we are paving the way for a sustainable and decentralized energy future.As a frontrunner in the residential solar energy sector, Enpal is expanding rapidly with a clear vision: to lead Europe’s transition towards sustainable and decentralized energy generation.Job OverviewIn the Energy Platform, we manage the integration and digital operation of Enpal’s products installed in customer homes. Whether it’s controlling heat pumps, enhancing the functionality of wallboxes, or trading energy on your behalf, we provide the platform for all Enpal’s energy solutions. Our responsibilities span from the embedded engineering of our own IoT hardware to managing cloud infrastructure that processes and optimizes our fleet and crafting exceptional user experiences.As a Senior Software Engineer (f/m/x) on our team, you will play a crucial role in building and shaping a cutting-edge Data Platform at the heart of our entire solar system fleet, empowering our other teams to deliver exceptional customer experiences.We offer a dynamic work environment with speed, agility, and significant career growth potential. Our vision to make sustainable energy accessible to all can only be realized through a customer and product-centered approach, and close collaboration among software development, product management, and lean, experiment-driven business development.Join us in developing your professional skills, participating in the energy revolution, and taking ownership of the sustainable changes we wish to see in the world together! We eagerly await your application.Your Role at Enpal:Software Development. We are focused on delivering incremental value with each iteration, celebrating improvements that enhance user experiences while contributing to our climate goals.Enhancing Developer Experience. We strive to minimize late-night deployments and repetitive manual testing. Our goal is to improve stability and automate as much as possible, including load tests and vulnerability assessments.Professional Growth. We foster an environment that encourages continuous learning and development.
LivePerson is hiring a Senior Manager of Data Services in Berlin, Germany. This leadership role centers on guiding a team dedicated to building and maintaining data solutions that support business goals and improve customer engagement. Role overview The Senior Manager of Data Services sets direction for data strategy and oversees its execution. The position ensures data services meet organizational objectives and support clients in making informed decisions. Collaboration with stakeholders and team members is key to aligning data initiatives with business needs. Key responsibilities Lead and mentor a team delivering data solutions Shape data architecture and analytics capabilities Drive strategy to align data services with business priorities Support customer engagement through effective data use Requirements Experience managing data-focused teams Strong background in data architecture and analytics Ability to align data initiatives with business objectives
Intercom is a pioneering AI Customer Service company dedicated to empowering businesses to deliver exceptional customer experiences.Our advanced AI agent, Fin, stands as the premier customer service AI solution available, enabling businesses to provide round-the-clock, flawless customer support while significantly enhancing overall customer satisfaction. When integrated with our Helpdesk, it forms a comprehensive solution known as the Intercom Customer Service Suite, which offers AI-driven assistance for more intricate or high-touch inquiries requiring human interaction.Founded in 2011 and trusted by nearly 30,000 businesses worldwide, Intercom is redefining the benchmarks for customer service. By adhering to our core values, we continuously challenge conventions, build with agility and urgency, and consistently deliver exceptional value to our clients.What is the opportunity?The AI Group at Intercom is tasked with defining innovative machine learning features, researching suitable algorithms and technologies, and quickly deploying prototypes for our customers.We are highly product-oriented. Our team, consisting of over 50 ML scientists, engineers, designers, and researchers, collaborates closely with various departments across the organization. We prioritize rapid production cycles, often transitioning to beta testing within weeks following successful offline evaluations.We continually conduct experiments and measure the effectiveness of our AI features, employing both frequentist and Bayesian methodologies, creating dashboards for result tracking, and delving deeply into user interactions to understand success metrics amidst the complexities of stochastic AI products.We are seeking a passionate Analytics Engineer to join our AI Group and contribute to our ongoing efforts.What will I be doing?Data Platform Development: Design, develop, and oversee scalable data pipelines and ETL processes to establish a robust, analytics-ready data infrastructure.Cross-functional Collaboration: Collaborate with AI analysts, ML scientists, engineers, and business teams to comprehend data requirements and ensure the delivery of accurate, reliable, and user-friendly data solutions.Data Strategy & Governance: Drive initiatives in data modeling, ownership of data quality, management of warehouses, and production support for key operational workflows.Advanced Analytics & Insights: Perform data analysis and develop custom models to inform strategic business decisions and measure performance.Automation & Optimization: Enhance the efficiency of data collection and reporting processes.
