Data Engineer from Finance (dbt/Data Vault/Snowflake)

Summary: 

The Data Engineer role is central to enhancing data infrastructure as part of a team committed to innovative financial solutions. The position aims to drive data innovation and improve data management practices to support various business initiatives.

Responsibilities:

• Develop and maintain scalable Data pipelines using tools like Matillion and SQL.
• Collaborate with data infrastructure and Data teams to design optimal solutions for data ingestion and reporting.
• Seamlessly ingest data into Snowflake to enable advanced analytics and reporting.
• Serve as a technical expert, supporting business users in leveraging data effectively.
• Ensure data integrity, security, and governance across systems and workflows.
• Document and communicate technical solutions to ensure clarity across the organization.

We offer:

• Long-term cooperation.
• Transparently built relations based on trust and fair play.
• Co-financed benefits: Medicover card, Multisport card.

Must Haves:

• Strong SQL skills and a solid understanding of cloud-based data platforms.
• Experience with dbt (ideally with Data Vault and Snowfake).
• Hands-on experience with Data Vault modeling.
• Experience with Snowflake (or with Databricks).
• Knowledge of best practices in data warehousing and data modeling.
• Excellent communication and collaboration skills to work cross-functionally.
• Ability to work independently or as part of a team to deliver high-quality results.
• Experience with Python.
• Previous work experience in finance or fintech industries - payment cards, loans.

Nice to have:

• Experience with Matillion.