Data Engineer Jobs in State of Berlin, Germany

Data Engineering – ML Infrastructure team at Qonto builds the data layer powering the company’s AI products. The role designs and maintains Python pipelines, feature stores, and model serving infrastructure that enable ML engineers to focus on models rather than plumbing.

Logistics Data & Machine Learning Platform team at Delivery Hero builds next‑gen logistics intelligence powered by real‑time data and AI. The Data Engineer II designs, builds and scales robust data pipelines, develops CDC ingestion with Debezium, and partners with data scientists to operationalize ML workflows for efficient, sustainable last‑mile delivery. Berlin, hybrid (2 days onsite).

Data Engineering team at Compugroup Medical builds and operates robust data pipelines that power AI-native features for its SaaS health solutions. The Senior Data Engineer designs, develops, and maintains Python/FastAPI and Spark/Scala ETL/ELT pipelines, ensures data quality, observability, and cost‑efficiency, and collaborates with product, AI engineers, and architects on data products.

Program Team within Tech Foundations at Delivery Hero drives the AI-native ecosystem by building foundational data pipelines and analytics frameworks. The role designs and implements unstructured data pipelines, tracks AI investment ROI, and evangelizes AI adoption across engineering and business units.

Data Engineering team at Moonfare builds robust data pipelines and BI infrastructure to power private market investment insights. The Senior Data Engineer designs, develops, and scales data lake and warehouse solutions on AWS, implements security and governance standards, and mentors peers while collaborating with analysts to deliver reliable data.

Data Engineering team at idealo focuses on building scalable data infrastructure and ensuring operational excellence across data products. As People Lead Data Engineering you steer and optimize operational flows, monitor resources, budgets and KPIs, and lead a team through hiring and development while aligning with business units.

Data Engineering team at Xcelirate builds robust data infrastructure for fraud detection and analytics. The role designs, develops, and maintains scalable pipelines, optimizes storage, and integrates detection models while supporting analysts with engineered datasets.

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.

Tech Foundations Team at Delivery Hero builds foundational data systems that enable faster feature development, security, and reliability across the global engineering community. As a Data Engineer I you will design, implement, and maintain data pipelines and warehouses using Python, SQL, NoSQL, and cloud services, collaborating with cross‑functional teams to support rapid innovation.

Data Engineering team at Adsquare builds scalable big data pipelines that power location intelligence products. The Senior Data Engineer designs, implements and optimizes end‑to‑end data ingestion, transformation and egress solutions on AWS using PySpark, Snowflake and Terraform, while mentoring junior engineers.

Data Engineering team at Delivery Hero improves vendor experience and optimizes the supply chain through data science and engineering. The role designs, builds, and maintains scalable features and workflows, ensures pipeline reliability, evolves architecture, and collaborates with data scientists to support ML model lifecycle.

Data Engineering Team at idealo focuses on building robust data infrastructure and operational excellence. As People Lead Data Engineering you steer and optimise operational processes, manage resources, budgets and KPIs, and lead a team through hiring and development while collaborating across the company.

Orcrist Technologies builds the Orcrist Intelligence Platform (OIP), a Kubernetes‑based data intelligence system. The Data Engineer prototypes batch and streaming connectors using NiFi, Kafka, and CDC, designs adoptable schemas, builds lakehouse datasets with Hudi/Iceberg/Delta, and containerizes prototypes for Kubernetes deployment.

Data Engineer on InterWorks' Data team, building large‑scale, high‑performance data pipelines and infrastructure to empower customers' data‑driven decisions. You will design and implement data lake and warehouse solutions, create cloud‑native ETL frameworks, and collaborate with business sponsors and analysts to translate diverse data sources into reliable pipelines.

Data Engineering team at Bluefish AI builds the pipelines and infrastructure powering its AI-driven commerce intelligence platform. The Engineering Manager leads a distributed team of six Data Engineers, driving execution, reliability, and evolution toward a scalable data lake architecture while fostering a sustainable, high‑performance culture.

Energy Metering Germany – the data-driven backbone of Octopus Energy’s smart metering network. The Data Engineer owns the end‑to‑end data stack, builds high‑performance pipelines, and ensures reliable API delivery of meter data.

Data Engineering Team at idealo internet GmbH ensures robust data infrastructure and operational excellence. The Team Lead drives and optimizes data engineering processes, manages resources, budgets and KPIs, and leads a team through hiring and development while collaborating across the company to align operational needs with business goals.

Alcemy is on a mission to keep 100 million tons of CO₂ out of the atmosphere by decarbonizing cement and concrete production. As a Data Engineer you will own the pipelines that ingest, clean and transform plant data for machine‑learning recommendations, build and maintain APIs and PostgreSQL databases, and translate data anomalies to customers.

AI Data Engineer at Huzzle, a venture-backed startup building an AI‑powered SAP consultant. Builds the foundational data layer that maps configurations, outcomes, and domain patterns across SAP projects, turning telemetry into scalable, queryable knowledge for AI models.

Program team, Catalyst for Agentic Transformation within Tech Foundations at Delivery Hero, builds foundational systems that enable faster feature development, security, and reliability across the global engineering community. The Data Engineer ll role analyzes AI investment impact, creates reporting frameworks, and drives adoption through workshops and training.