FinTech Data Engineer 16998
Veritaz AB
📍 Sverige
⏰ Heltid
📋 Vanlig anställning
🗓 Ansök senast 26 april 2026
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Skapa ansökan – från 49 kr Gratis att söka · Ingen registrering · 49 kr/mån för obegränsatOm jobbet
Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are looking for a Data Engineer
What You Will Work On
Design and develop robust ELT data pipelines
Build and maintain data models using dbt and Snowflake
Implement data validation, reconciliation, and quality frameworks
Translate financial business logic into data transformations and controls
Develop incremental models and snapshot handling (SCD)
Ensure data lineage, dependencies, and pipeline stability
Integrate validation into orchestration and transformation workflows
Work with observability and testing frameworks for data pipelines
Collaborate with business stakeholders to ensure accurate financial reporting
Use Git-based workflows and CI/CD pipelines for development
Leverage AI-assisted development tools to improve productivity
What You Bring
Strong experience with Snowflake and dbt
Advanced SQL skills (complex joins, aggregations, diff strategies)
Experience building ELT pipelines and data transformation workflows
Hands-on experience with data validation and reconciliation frameworks
Strong understanding of data lineage and pipeline dependencies
Experience with Git-based development and CI/CD pipelines
Experience with data observability and testing practices
Familiarity with AI-assisted development tools (e.g., Cursor or similar)
Ability to translate business logic into scalable data solutions
Strong collaboration skills across technical and business teams
Assignment Description
We are looking for a Data Engineer
What You Will Work On
Design and develop robust ELT data pipelines
Build and maintain data models using dbt and Snowflake
Implement data validation, reconciliation, and quality frameworks
Translate financial business logic into data transformations and controls
Develop incremental models and snapshot handling (SCD)
Ensure data lineage, dependencies, and pipeline stability
Integrate validation into orchestration and transformation workflows
Work with observability and testing frameworks for data pipelines
Collaborate with business stakeholders to ensure accurate financial reporting
Use Git-based workflows and CI/CD pipelines for development
Leverage AI-assisted development tools to improve productivity
What You Bring
Strong experience with Snowflake and dbt
Advanced SQL skills (complex joins, aggregations, diff strategies)
Experience building ELT pipelines and data transformation workflows
Hands-on experience with data validation and reconciliation frameworks
Strong understanding of data lineage and pipeline dependencies
Experience with Git-based development and CI/CD pipelines
Experience with data observability and testing practices
Familiarity with AI-assisted development tools (e.g., Cursor or similar)
Ability to translate business logic into scalable data solutions
Strong collaboration skills across technical and business teams