Data Engineer Jobs in Germany

Deel’s Data Engineering team builds the backbone of our global payroll and HR platform, turning raw data from 150+ countries into actionable insights. The role designs, builds, and maintains efficient ETL pipelines, optimizes data warehouse schemas, and writes complex SQL and Python scripts to support analytics and reporting.

Data Engineer, Senior at Booz Allen Hamilton builds and maintains scalable data pipelines and platforms, designs complex enterprise data applications, retrieves and processes structured and unstructured data with Python, SQL, and TypeScript, builds ETL/ELT workflows for analytics, collaborates with cross-functional teams, develops scripts for data conversion and platform scaling, and ensures reliability and performance.

At Kpler, a global data intelligence firm, the Data Engineer will enhance pipelines that retrieve, normalize, and distribute large commodity datasets for the European power market. Responsibilities include expanding data coverage to new markets, enriching product features, building monitoring dashboards, and optimizing API performance.

Data Engineer on N26’s Data Experience Team, part of Platform Engineering, building trusted, scalable database infrastructure for the bank the world loves to use. The role designs and maintains cloud‑native platform solutions, collaborates with Product & Analytics, and drives observability and incident response.

Nebius seeks a Data Engineer to build and maintain scalable data pipelines that power analytics and business intelligence across its AI cloud platform. The role involves designing data infrastructure, optimizing storage and processing, implementing quality monitoring, and ensuring governance and compliance.

Data Engineer role at Dematic Ltd. (GB) focuses on building analytics capability for EMEA Resource Management. Lead design, development, and maintenance of Power BI dashboards and reports, transforming semi‑structured data from Databricks SQL, Snowflake, SQL Server, SharePoint, JSON, and Excel into actionable insights.

Dematic is a global leader in intelligent automation. The EMEA Resource Management team seeks a Data Engineer to transform semi‑structured data into actionable insights, build Power BI dashboards, integrate data from Databricks, SQL Server, Snowflake, SharePoint, JSON, and Excel, ensure governance, automate processes, and improve reporting to support resource planning across the region.

Data & AI team at OMMAX builds scalable data pipelines and cloud infrastructures that enable analytics and AI solutions. The Data Engineer designs, builds, and optimizes ETL/ELT processes, integrates diverse data sources, and ensures data quality using Python, SQL, Docker, Airflow, and Terraform.

Data Engineering team at Almedia builds the data and backend platform that powers its marketing ecosystem. The role designs Python APIs, develops end‑to‑end GCP data pipelines, and owns event‑driven services while ensuring observability and reliability.

Data Engineer at Klar responsible for optimizing and redesigning the digital platform, expanding data pipeline architecture, and delivering data solutions to engineers, scientists, and analysts. Works on large, complex datasets, performing extraction, enrichment, transformation, and integration via ETL/API.

Data Engineer at Booz Allen, building mission‑driven data pipelines for applied AI. Day‑to‑day, you design, deploy, and maintain enterprise‑scale analytics solutions while guiding a cross‑functional team of analysts, developers, and data consumers. Located in Ramstein‑Miesenbach, Germany, the role is on‑site with a focus on rapid, agile delivery.

Enterprise Data & Analytics (EDA) at Dataiku builds the platform that powers AI across the company. The Data Engineer I designs and maintains Snowflake pipelines, Python & SQL data replication, and Dataiku automations to deliver clean, governed data to analytics, embedded analytics, and generative AI teams.

Data Engineering team at Jedox builds and operates the enterprise data platform that powers finance, sales and analytics across the company. The role designs, develops and runs a Microsoft Fabric lakehouse, creates batch and streaming ETL pipelines, integrates systems like Salesforce and SharePoint, and prepares data for AI use cases such as vector‑ready datasets.

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 Engineer needed to build and maintain data pipelines for mission‑driven projects, focusing on applied production AI. Deploy and develop workflows that organize disparate data, guide a multidisciplinary team, and manage analytic solutions for clients.

Data Engineer at Booz Allen Hamilton Germany builds advanced data pipelines for mission‑critical projects such as fraud detection, cancer research, and national intelligence. The role designs, deploys, and maintains scalable ETL/ELT workflows, guiding a multidisciplinary team of analysts, developers, and data consumers in an agile environment.

Statista, a global business data platform, seeks a Junior Data Engineer to build and maintain scalable data pipelines, orchestrate workflows with Airflow, and optimize data infrastructure. The role involves collaborating with data sourcing and architecture teams, developing ETL processes in Python, and ensuring high availability and security of data services.

Data Engineer, Senior

Data Engineer role at Booz Allen Hamilton focuses on building and maintaining data pipelines and workflows to transform structured and unstructured data into actionable insights for mission-critical projects. The position requires strong programming skills, experience with data engineering tools, and the ability to lead cross-functional teams in an agile environment.