We are seeking a Senior Data Engineer to lead the design, implementation, and optimization of enterprise-scale data solutions using Palantir Foundry or Databricks, bringing deep technical expertise in data engineering and strong analytical capabilities to guide delivery teams in developing high-performance data products.
- Extensive experience (3+ years) in Palantir Foundry Data Engineering or Databricks
- Expertise in PySpark and SQL
- Proven experience designing large-scale ETL/ELT pipelines and data architectures
- Knowledge of distributed data processing and performance optimization
- Experience leading technical delivery within data engineering teams
- Understanding of data modeling, governance, and data quality practices
- English proficiency at B2 level or higher
Nice to have
- Experience with both Palantir Foundry and Databricks
- Background in reinsurance or insurance industry processes, particularly finance-related data domains
- Experience working in complex enterprise environments
- Knowledge of cloud-native analytics and data platforms
- Design and implement scalable data pipelines and reusable data products
- Lead the development of complex data transformation frameworks using PySpark and SQL
- Define and promote data engineering best practices across delivery squads
- Drive performance tuning, data quality improvements, and operational reliability initiatives
- Optimize large-scale processing workloads and data models
- Establish monitoring, observability, and troubleshooting standards
- Provide technical guidance and mentorship to junior and intermediate data engineers
- Collaborate with architects and business stakeholders on solution design and delivery planning
- Contribute to platform governance, standards, and engineering excellence initiatives
- Translate business requirements into scalable technical solutions
- Support delivery of enterprise analytics and reporting capabilities
