Data Engineer Jobs in City state Bremen, Germany

Data Engineer drives end-to-end data pipelines, ETL/ELT, and ML model deployment in a cloud environment. Designs real-time data flows, builds interfaces to external systems, automates testing and deployment, maintains Big Data and streaming infra, ensures data quality, and collaborates with product teams on personalization and recommendation systems.

Data Engineer - Embedded AI (f/m) at Airbus seeks a senior engineer to develop embedded AI functions for aircraft systems, focusing on computer vision. The role involves architecting and managing data flows for training and validating machine learning functions such as vision-based navigation and obstacle detection.

MCP Data agile team builds and maintains the core data layer for BA Markets, enabling automated decision making and ad‑hoc analysis across Vattenfall’s energy trading operations. The Data Engineer designs reusable data products in Python, ingests and processes internal and external datasets such as weather and market prices, and ensures reliability through monitoring and validation.

MCP Data agile team in BA Markets OU Operations drives digital transformation by building and maintaining the core data layer for automated decision making and analysis. The Data Engineer designs and maintains reusable Python‑based data products, ingests internal and external datasets such as weather and market prices, and ensures reliability through monitoring and validation.

Data Engineering team at DYMATRIX builds scalable cloud data pipelines and warehouses to enable business intelligence across the enterprise. The Senior Cloud Data Engineer designs, implements, and optimizes data ingestion, transformation, and storage solutions on AWS and GCP, working closely with analysts and data scientists.

Data Engineering team at DYMATRIX GmbH builds scalable data pipelines and AI-ready data platforms for enterprise analytics. The Senior AI Data Engineer designs, implements, and optimizes data ingestion, transformation, and storage solutions, collaborating with data scientists to enable advanced AI models.

Statista’s Data Platform team builds reliable, scalable data pipelines that power global business insights. As a Data Engineer, you design and operate ELT/ETL workflows, orchestrate data pipelines with Airflow, and ensure data quality, security, and cost efficiency across AWS services.

Innovation & Development Team at Lyreco Deutschland GmbH builds scalable data pipelines and backend services to turn raw data into actionable insights. The role develops, operates, and continuously improves ETL/ELT workflows, Python/FastAPI APIs, and SQL models, ensuring data quality and automation across internal and external systems.

Decentralized IT unit of the Finance division at enercity focuses on building reliable, consistent data foundations for business-critical processes. As a Data Engineer you design and implement scalable data models and pipelines, develop Data Vault structures, ensure data quality, and collaborate with BI specialists and platform teams.

Data Engineering team at Compugroup Medical builds and operates robust data pipelines for healthcare SaaS products. The Senior Data Engineer designs, implements and maintains Python/FastAPI and Spark/Scala ETL/ELT pipelines, collaborates with product, AI engineers and architects to create AI‑native data products, and ensures data quality, observability and cost efficiency.

Digital Twin Network team at enercity builds a cloud‑based platform for net operation data, enabling data‑driven decisions. The Data Engineer designs, implements and maintains data pipelines integrating asset, IoT and operational data into Snowflake/Azure, ensures data quality and supports use cases like outage management and live monitoring.

Lead a team of 6–12 data engineers to build scalable AI-ready analytics solutions, foster ownership, remove blockers, manage incidents, and drive people development while collaborating with product owners and stakeholders.

Data Engineer (befristet) (m/w/d) at enercity Netz GmbH in Hannover. Responsible for exploratory and targeted data analyses using Python and SQL, developing and optimizing data models, creating Power‑BI dashboards, processing large datasets with PySpark, collaborating with business units to identify data-driven opportunities, building robust data pipelines and ETL processes, ensuring data quality across systems.

Data Engineer (m/w/d) at enercity Netz GmbH in Hannover. Responsibilities include conducting exploratory and targeted data analyses with Python and SQL, developing and optimizing data models, creating Power‑BI dashboards and reports, processing large datasets with PySpark, identifying data-driven opportunities in collaboration with business units, building robust data pipelines and ETL processes, and ensuring data quality across systems.

Data Engineer focused on Master Data Management at enercity, responsible for designing and evolving the MDM platform, modeling data structures, developing APIs and ETL processes, ensuring data quality and governance, and driving data architecture initiatives in Azure environment.

Data Engineering team at Synchrony Bank builds and enhances on‑prem data warehouses and accelerates migration to AWS, including Amazon Redshift. The AVP leads design, development, and production of scalable, fault‑tolerant data pipelines, collaborates with architects, data scientists, and product managers, and drives automation and best practices in a fast‑paced, globally distributed Agile environment.

Data Engineering at A11 drives AI-native B2B commerce by building robust data pipelines and integration architecture. The Senior Data Integration Engineer designs and implements ERP, CRM, and supplier API integrations, develops Python ETL modules, models data with dbt, and creates event-driven systems on GCP, including LLM workflows.

Data Engineer on Rhenus Group IT Services’ Enterprise Data Platform team. Builds and operates scalable data pipelines on AWS using Spark, Delta Lake, and Kubernetes, ensuring reliable data for reporting and analytics.

Data Engineer (w/m/d) - Informatica MDM is a role focused on designing, integrating, and maintaining master data management solutions using Informatica MDM SaaS / IDMC. The engineer will leverage extensive experience to shape the company’s MDM strategy, translate business use cases into technical solutions, collaborate with system owners and external partners on new integrations, monitor and support the data platform, and continuously analyze the solution for optimization opportunities.

Data Platform department at Sartorius Corporate Administration GmbH builds scalable data pipelines on Azure to empower business decisions. The role designs, develops, and maintains Azure Data Factory, Databricks, and Data Lake workflows, ensuring data quality and governance while collaborating with analysts, scientists, and stakeholders.