Data Engineer

We are partnering with a global leader in providing innovative IT staffing and solutions across various industries.

The Role

• Develop, test, and maintain ETL and data engineering jobs that bring data into Databricks and support downstream analytics and reporting.
• Work with business and technical stakeholders to translate requirements into scalable, production-ready data pipelines.
• Build and maintain pipelines across AWS, Databricks, and Snowflake environments.
• Enhance existing legacy data engineering jobs as part of broader modernization and migration efforts.
• Create and maintain technical documentation, specifications, test plans, and operational support materials.
• Perform testing and quality assurance to validate data accuracy and pipeline reliability.

What You'll Need

• Hands-on experience developing ETL, ELT, or data engineering pipelines in production environments.
• Strong experience with Databricks, Spark-based processing, and modern data pipeline development.
• Experience working with AWS cloud services and Snowflake data platforms.
• Proficiency with infrastructure-as-code practices, preferably Terraform.
• Experience implementing CI/CD practices using Concourse, GitHub Actions, or comparable tools.
• Ability to write clear technical specifications, documentation, and support materials.

What's On Offer

• Opportunity to support critical data engineering initiatives.
• Contribute to significant migration activities and modernization efforts.
• Collaborative environment with cross-functional teams.
• Chance to work with cutting-edge data technologies like Databricks, AWS, and Snowflake.

Apply via Haystack today!