Data Engineer

Expleo is a global engineering, technology, and consulting service provider that partners with leading organizations to guide them through their business transformation, helping them achieve operational excellence and future-proof their businesses.
Expleo benefits from more than 50 years of experience developing complex products in automotive and aerospace, optimizing manufacturing processes, and ensuring the quality of information systems. Leveraging its deep sector knowledge and wide-ranging expertise in fields including AI engineering, digitalization, automation, cybersecurity and data science, the group’s mission is to fast-track innovation through each step of the value chain.
With 19,000 employees and a worldwide presence in 30 countries, our global footprint includes excellence centers around the world. We are in Romania since 1994 and currently counting 1700 colleagues.

We are seeking a Data Engineer to design, build, and optimize scalable data pipelines on Databricks for our Insurance client. You will work as part of a dedicated Data Engineering team delivering data products for analytics utilizing insurance line of business data to enable high-quality, trusted data solutions that drive data-driven decision-making for the business.
This role combines hands-on engineering, data modeling, and cross-functional collaboration, with a focus on modern data engineering practices. You will work closely with data analysts and BI teams, actuarial and underwriting teams, software engineers and platform teams.

• Design, build, and maintain scalable ETL/ELT pipelines using Databricks (Spark)
• Develop robust, fault-tolerant, and performant pipelines to transform data from: policy administration systems, claims systems, third-party data providers
• Develop and maintain notebooks, jobs, and workflows within Databricks
• Optimize Spark jobs for performance and cost efficiency
• Work with Delta Lake to manage incremental processing, schema evolution, data versioning
• Implement Medallion data layers (bronze/silver/gold architecture)
• Build data models to support: reporting and dashboards, actuarial analysis, regulatory reporting
• Implement and monitor data quality checks and validations
• Ensure compliance with insurance and regulatory standards (e.g., GDPR, Solvency II where applicable)
• Translate business requirements into technical data solutions
• Perform root cause analysis for data issues

Technical skills

• Strong experience with Databricks and Apache Spark (PySpark or Scala)
• Experience with cloud platforms (Azure preferred; AWS/GCP also acceptable)
• Proficiency in Python and SQL
• Experience working with:
  • Delta Lake or similar storage formats
  • Data pipeline orchestration tools (e.g., Airflow, Azure Data Factory)
• Understanding of data modeling techniques
• Experience building ETL/ELT pipelines at scale
• Knowledge of data warehousing concepts
• Familiarity with data quality frameworks and testing approaches

Soft Skills

• Strong problem-solving and analytical skills
• Ability to work with both technical and non-technical stakeholders
• Good communication and documentation skills
• Strong attention to detail and data accuracy

Nice to Have

• Understanding of insurance business processes
• Experience working with claims, policy, or underwriting data, regulatory reporting datasets is a plus
• Experience with real-time/streaming pipelines (Kafka, Structured Streaming)
• Knowledge of data governance and catalog tools (e.g., Unity Catalog)
• Exposure to CI/CD pipelines for data engineering
• Experience with BI tools (Power BI, Tableau)

• CIM or B2B (SRL) collaboration

• Benefit Platform 
• Holiday Voucher 
• Private medical insurance  
• Performance bonus 
• Easter and Christmas bonus 
• Employee referral bonus 
• Bookster subscription  
• Work from home options depending on project  #LI-AT1