Senior Data Engineer

About This Opportunity

We are representing a fast-growing fintech organization in Berlin that manages billions in assets and is building the data infrastructure to support its next phase of scale. As a Senior Data Engineer, you will own the design and evolution of data systems that power decision-making across the business. This is a hands-on role with real architectural ownership—you'll propose solutions, build pipelines, and ship production-grade data infrastructure that meets growing demands.

Responsibilities

• Design, build, and optimize scalable data pipelines and storage solutions that ensure efficient, secure, and reliable data processing from source systems to the data warehouse
• Develop and manage ETL/ELT workflows to integrate data from multiple sources, ensuring seamless ingestion, transformation, and availability
• Implement and enforce data quality, validation, and monitoring processes to guarantee accuracy and integrity for analytics and operational use cases
• Ensure data security and compliance by applying best practices and industry standards for handling sensitive information
• Collaborate with analysts, product managers, and engineers to understand data needs and deliver solutions that unlock new insights
• Continuously evaluate and integrate new technologies to improve scalability, performance, and future-proof the data infrastructure

What We're Looking For

• Over 5 years of professional experience in data engineering, data architecture, or a similar data-related role
• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
• Strong proficiency in SQL, Python, and ETL/ELT frameworks, with experience in data modelling, warehousing, and database management (e.g., BigQuery, Snowflake, PostgreSQL)
• Experience with cloud data platforms (e.g., AWS, Google Cloud) and modern data pipeline tools (e.g., Airflow, dbt)
• Solid understanding of data modelling principles, data governance, security, and compliance best practices
• Experience using AI coding tools (Copilot, Cursor, Claude) to speed up development and integrating them into standard workflows, with the judgment to verify output
• Experience with data quality testing frameworks or rules-as-code approaches (e.g., dbt tests, Great Expectations)
• Experience with streaming or near-real-time pipelines (Kafka, Kinesis, or similar) is a plus
• Fintech experience is a plus, but strong interest in financial services and data-driven decision-making is essential
• Fluent in English, both written and spoken; German is a plus

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and match you with the right opportunity. Once we align on fit, we submit your profile to our client and coordinate the interview process on your behalf. Please do not contact the client directly—all communication and scheduling flows through our recruiting team to ensure a smooth, professional experience.

Pay

Compensation details will be discussed during the screening process and are competitive with the Berlin market for senior data engineering roles.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. All qualified applicants will be considered without regard to race, age, religion, gender, ethnicity, national origin, disability, or any other characteristic protected by law.