Data Engineer (With Snowflake/Databricks)

Sollers Consulting assists insurance companies in developing industry-leading operations. Its international teams, comprising business and IT experts from 42 nations, work out of sixteen offices across Europe, North America, and the Asia-Pacific. Since its inception in 2000, Sollers has partnered with over 150 organisations globally, implementing both core and front-end systems.

Sollers has collaborated with renowned companies such as Admiral, Amica, Aviva, AXA, Baloise, Beazley, FMNE, Insurance Australia Group (IAG), Liberty, MS&AD, QBE, Red River Mutual, Sompo, Texas Mutual, Tokio Marine, VHV and Zurich. By leveraging its local insurance expertise, Sollers supports insurers in customising technology solutions to meet their specific needs. Company’s partnerships include major core system providers like Guidewire and Salesforce, modern data solution providers such as Snowflake and Databricks, all major cloud providers (AWS, GCP, and Azure), process automation platforms, like Appian and Camunda, and insurance-specific solutions in areas like pricing and underwriting from SEND and Hyperexponential.

• Minimum 3 years of experience in data engineering
• Hands-on experience with Snowflake or Databricks
• Hands-on experience with ETL/ELT processes and pipeline development
• Familiarity with diverse data sources (RDBMS, CDC, APIs, connectors, structured/semi-structured/unstructured files)
• Solid understanding of data warehouse modeling concepts
• Proficiency in SQL and Python
• Practical experience with PySpark or a similar distributed data processing framework
• Strong command of English (B2/C1 level)
• Effective communication and teamwork skills
• Full-time availability
• Eligibility to work in the European Union

Nice to have:

• Experience in the insurance industry
• Familiarity with Azure Data Factory
• Familiarity with cloud data stacks (AWS, Azure, or GCP)
• Experience with other data related tools (e.g. Airflow, Kafka)
• Fluency in French or German

• Work with data platforms such as Snowflake and Databricks
• Leverage cloud technologies from Azure and AWS
• Design, build, and optimize scalable data pipelines for performance and reliability
• Advise clients on tools, technologies, and architectural improvements
• Ensure compliance with data privacy, security, and regulatory standards
• Collaborate with stakeholders to align technical solutions with business objectives
• Contribute to agile project teams and engage directly with clients