Top Data Engineer Jobs in Berlin

As a Data Engineer at Superhuman, you'll design and implement data systems, ensuring scalability and security for handling billions of daily events, while collaborating across teams and mentoring engineers.

As a Principal Data Engineer, you'll architect and oversee data assets for customer-facing analytics, lead design reviews, mentor teams, and drive an AI-first data engineering approach.

Build and maintain scalable, secure database platform infrastructure on cloud. Implement IaC and CI/CD, operate containers and orchestration, enable data orchestration and metadata access, contribute to observability, incident response, documentation, and roadmap delivery.

Design, build, and maintain scalable data pipelines and storage for fraud detection. Support fraud analytics, feature engineering, model integration and serving, pipeline monitoring, and documentation. Collaborate with data, product, and engineering teams to enable detection, reporting, and operationalisation of fraud models.

The Data Engineer will build data pipelines for materials science, ensuring data quality and collaborating with ML researchers while managing large datasets.

As a Software Engineer on the Data Operations team, you'll shape data architecture, develop scalable systems, and guide engineering practices across products. You'll collaborate with cross-functional teams and mentor other engineers, overseeing data operations and engineering initiatives.

As a Data Engineer at GALVANY, you'll architect data infrastructure, process real-time energy data, build scalable data pipelines, and ensure data quality for an AI-based Operating System.

Develop and maintain scalable data infrastructure and ETL pipelines, support machine learning applications, ensure data quality, and collaborate on data models.

As a Data Analyst at Air Apps, you'll analyze user behavior and product performance, create reports and dashboards, and provide actionable insights using data visualization tools and programming languages.

As a Data Engineer, you will manage laboratory and clinical data projects, building machine learning models and supporting data analytics in the life sciences domain.

Design, develop, and maintain ETL mappings, workflows, and transformations using Informatica PowerCenter and PowerExchange. Integrate data across Oracle, DB2, Snowflake, Linux, and mainframe systems, optimize performance, automate ETL operations with shell scripts, and support production operations and incident management. Translate business requirements into scalable data integration solutions and collaborate on data warehousing and reporting needs.

The Data Engineer will design and maintain data pipelines and backend services, utilizing Python and cloud platforms to enhance data processing and performance.

As a Data Engineer, you'll build and manage data pipelines for cement and concrete plant data, ensuring efficient data flow for machine-learning models while collaborating with customers and teams.

As a Data Engineer, you will develop and manage data pipelines, ensuring reliable data ingestion and delivery while optimizing for simplicity and performance.

As a Senior Data Engineer, you will develop AWS-based data platforms, build data pipelines, ensure data accuracy, and collaborate with teams on data strategies.

The role involves building and maintaining data pipelines using various technologies, collaborating with stakeholders, monitoring data health, and promoting team knowledge sharing.

The Data Engineer will design and maintain scalable data pipelines, optimize data infrastructure, monitor data quality, and enable analytics capabilities, ensuring alignment with business goals.

Design, build, and operate enterprise reporting and analytics platforms. Create scalable ELT/ETL pipelines, master data foundations, and lakehouse/warehouse semantic models. Deliver Power BI datasets and dashboards, implement data quality, governance, DevOps practices, and cost-management data solutions. Partner with finance and stakeholders and provide technical leadership across architecture, deployment, and run-state support.

Responsible for deploying and maintaining data center infrastructure, troubleshooting hardware and network issues, managing inventory, and setting up data centers.

As a Data Engineer, you will design and build data pipelines, models, and infrastructure for analytics and machine learning while ensuring data quality and compliance.

Design and build agentic systems and production infrastructure for an AI-driven financial intelligence platform. Integrate LLMs, manage prompts and tool-calling, develop RAG and retrieval systems, build MCP servers and observability, run LLM evaluation pipelines, optimize performance and cost, and mentor junior engineers.

As a Data Engineer, you will design and implement data pipelines, improve ETL processes, and ensure high performance of data infrastructure, while collaborating with clients to meet their goals.

The Data Engineer will manage tracking data pipelines, ensure data quality and governance, optimize ELT processes, and collaborate with teams to enhance data accessibility and reliability.

The Specialist Solution Architect will provide technical expertise to enterprise customers, leading technical sales and presentations while owning the sales process.

The Data Engineer will enhance data retrieval pipelines, expand market coverage, develop features, improve monitoring tools, support API performance, and work with cross-functional teams in a dynamic environment.