Jobs Hiring Near Me: Curated Data Engineer Jobs in Germany

Enpal is looking for a Staff Data Engineer to join the Analytics Engineering, BI, and AI-enabled business teams. The role involves building data pipelines, integrating heterogeneous source systems, defining technical decisions, and setting standards for other engineers. The candidate should have experience in dbt, Snowflake, Airflow orchestration, Terraform, GitOps, and modern ingestion frameworks.

Lead the build of a real-time data platform and infrastructure that powers customer-facing data products, working closely with data science, product, design, and engineering to lay the foundation for analytics and ML models used by major wholesale and distribution businesses.

Join a remote-first engineering environment to help build the data infrastructure powering a fast-growing global SaaS business. Design and maintain scalable data pipelines, transformation processes, and data models supporting internal products, reporting, and client-facing outcomes. Collaborate with Product, Design, Leadership, and Engineering teams to translate business needs into reliable and discoverable data solutions.

The Senior Data Engineer position is responsible for designing and operating data platforms powering WalletConnect’s payments infrastructure and ecosystem analytics. The role involves building event-driven data pipelines, maintaining real-time processing systems, and ensuring data quality across high-volume transactional workflows. The candidate will also build backend services that expose data to internal platforms and APIs, collaborating with product, engineering, and infrastructure teams.

This position offers hands-on engineering with architectural thinking and performance optimisation. The Senior Data Engineer will work closely with Data Analysts and business stakeholders to create trusted datasets that power reporting, analytics, and informed decision-making.

This position involves designing and maintaining sophisticated scrapers for transforming diverse web-based sources into reliable datasets. The Senior Data Engineer - Web Scraping role is fully remote, focusing on Python development, data transformation, database engineering, and workflow orchestration. Collaboration with analysts, engineers, and cross-functional teams ensures the delivery of timely data, alerts, and production-ready products. The environment emphasizes engineering quality, operational reliability, and continuous innovation.

This position offers remote opportunities for experienced Data Engineers in Germany. The role involves designing, developing, and maintaining scalable data solutions that support reliable analytics-ready information across the organization. You will work closely with business stakeholders, product owners, architects, and technical teams to turn diverse data sources into trusted datasets. The focus is on the Microsoft Azure ecosystem and modern cloud-based architectures. Strong engineering practices, problem-solving, and data quality are key aspects of this role.

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. They help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing.

This role is based in Germany. The Senior Azure/Fabric Data Engineer will work on a strategic data transformation initiative, designing and shaping modern Azure and Microsoft Fabric data platforms for business-critical operations. They will combine hands-on data engineering expertise with solution architecture and stakeholder advisory to define scalable, cost-effective data solutions across various departments. This role offers significant ownership, exposure to enterprise-scale cloud technologies, and the opportunity to influence long-term data strategy within a fully remote environment.

This position is designed for an experienced data engineering professional who can combine deep technical expertise with team management capabilities. The Senior Data Engineer (Team Lead) will lead the design, development, and optimization of scalable data solutions while guiding engineers and shaping engineering best practices.