Jobs Hiring Near Me: Curated Data Engineer Jobs in Germany

Albs is a leading AI research lab focused on real-time multimodal intelligence. The role involves building data platforms, pipelines, synthetic data generation, and ensuring data quality for large-scale models. Experience in distributed data processing, ML training, Python, Rust/C++, and terabyte to petabyte datasets is required.

Infosys Consulting is at the forefront of applied AI innovation, delivering real-world business value through the convergence of AI agents, machine learning, and modern enterprise architecture. As part of our growing Enterprise AI consulting practice, we are looking for technically hands-on professionals to design and deliver client-centric intelligent systems and support business growth through strategic pre-sales and solutioning initiatives.

This position is listed on behalf of a partner company that manages all applications. The Data Engineer role focuses on designing, maintaining infrastructure for large-scale data collection, transformation, storage, and analysis within a fast-growing technology environment. Key responsibilities include collaborating with software engineers, ML engineers, data analysts, product teams to turn data requirements into reliable solutions. The role offers exposure to diverse technical challenges and an engineering-focused environment that values technical excellence, ownership, problem-solving, and meaningful customer impact.

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. They help life sciences firms turn fragmented scientific data into AI-native assets and workflows that accelerate discovery, development, and manufacturing. The role requires extreme self-discipline and determination to forge a category that will fundamentally change the life science industry.

This role offers the opportunity to modernize data infrastructure and build scalable cloud-based data products in a globally distributed technology environment. You will lead the migration of data workloads from legacy SQL Server environments to modern cloud platforms, design production-grade ETL/ELT pipelines, analytical models, and cloud data workflows using modern engineering practices, collaborate with analysts, engineers, and business stakeholders to translate complex requirements and legacy logic into robust solutions.

The Data Engineering team at 1GLOBAL is responsible for ingesting high-volume network and customer data from various source systems, modeling it into clean, reliable datasets, and making them available for reporting and self-service analytics across the business. The role of a hands-on engineer involves working on the core lake platform to ensure accurate and timely data availability.

Designs and optimizes Snowflake environments to power CRM, personalization, and audience activation. Transforms fragmented customer data into actionable foundations for engagement across multiple channels.

TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We 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. The role of a Customer Engagement Full Time position involves driving technical scientific solutions, being a high velocity self-starter, collaborating with scientists, product managers, and engineers to transform complex scientific data into actionable outcomes, and embodying the principles of extreme ownership.

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.

This position offers the opportunity to strengthen cybersecurity operations by engineering reliable, scalable security data pipelines across cloud and on-premises environments. The role combines hands-on data engineering with cybersecurity, cloud technologies, automation, and data quality management.