Senior Data Engineer

Join our team as a Senior Data Engineer, where you will design, build, test, and maintain robust data pipelines and ETL/ELT workflows across various platforms. You will lead technical design initiatives, own solutions throughout the engineering lifecycle, and implement automated testing and data validation. Additionally, you will mentor engineers, partner with business stakeholders, and proactively identify delivery risks. The ideal candidate will have strong SQL and Python skills, experience with cloud data platforms, and a solid understanding of data security and governance.

Responsibilities

• Design, build, test and maintain robust batch and near-real-time data pipelines and ETL/ELT workflows across enterprise systems.
• Develop reusable, well-documented data models and domain-aligned data products, translating complex business logic into reliable engineering solutions.
• Lead technical design for assigned initiatives, evaluate trade-offs, and ensure solutions are scalable, secure, maintainable and cost-effective.
• Strong hands-on SQL and Python skills, with experience in distributed data processing using PySpark and/or Databricks
• Solid experience with cloud data platforms and warehouses, particularly Snowflake; knowledge of data modelling, dimensional design and data product principles
• Understanding of data security, access management, data quality, governance and regulatory considerations in enterprise environments

Requirements

• Ability to influence technical decisions, mentor peers and communicate effectively with engineering and non-technical stakeholders
• Bachelor’s degree in a relevant discipline or equivalent practical experience
• Typically 6+ years of professional data engineering or software engineering experience, including ownership of complex production data solutions
• Experience designing data pipelines and transformations using modern ETL/ELT tools and frameworks, such as dbt, Ab Initio or equivalent technologies
• Experience with orchestration, Git-based workflows, automated testing, CI/CD, monitoring and troubleshooting production data services
• Enterprise integration experience with SAP S/4HANA, financial planning systems, supply chain applications, ServiceNow or HR platforms
• Experience building reconciled financial data, master/reference data or enterprise operational data products
• Experience with AWS services, APIs, event-driven integration and infrastructure as code
• Exposure to AI/ML data preparation, data observability, metadata management and modern data governance practices
• Experience working with globally distributed teams and supporting cross-functional transformation programmes

Pay

EUR 87,800 - 131,800