Data Engineer

Job description

Develocraft is looking for a Data Engineer for our client operating in the financial services sector.

Salary:

B2B: Mid: 130 - 150 PLN net/h

B2B: Sr: 150 - 200 PLN net/h

Requirements

- 3–5 years of hands-on experience building data pipelines and/or managing production databases. You have owned data platforms end-to-end, rather than simply writing queries against existing systems.

- Expert-level SQL skills with production experience in SQL Server (T-SQL) and at least one columnar data warehouse such as Redshift, Snowflake, or BigQuery. You understand query execution plans, indexing strategies, and warehouse-specific optimisation techniques.

- Hands-on experience with dbt or similar data transformation frameworks, Python for data engineering, and orchestration/ETL tools such as AWS Glue, Airflow, or Step Functions.

- Comfortable working with Terraform, CloudFormation, or CDK, as well as CI/CD pipelines. You treat databases and data pipelines as version-controlled, tested, and deployable artefacts.

- Proven experience migrating data workloads between platforms. You know how to execute migrations safely, including parallel runs, data reconciliation and validation checks, and well-planned cutovers that ensure no data is lost.

- Comfortable working in English with UK-based stakeholders, gathering knowledge from existing system owners, and documenting data pipelines and processes so that others can operate and maintain them effectively.

Responsibilities

- Re-engineer our marketing data pipeline using a modern analytics stack, designing ingestion, dbt-based transformations, and Redshift warehouse models to replace today’s legacy SQL Server-centric processing.

- Take ownership of our production database estate, including performance, integrity, security, and cost management. Introduce CI/CD for database development so schema changes are version-controlled, tested, and deployed like code.

- Build automated data-quality processes and eliminate manual data movement, including migrating legacy SFTP workflows to AWS Transfer Family, so routine data operations run reliably without manual intervention.

- Build the data side of automated client onboarding, creating repeatable ingestion templates, validation, and mapping processes so new automotive clients can go live in hours rather than weeks.

- Use AI tooling such as Claude on a daily basis for query optimisation, pipeline debugging, and documentation, leveraging AI to increase your impact across a large and complex data estate.

About the project:

Rebuild the data platform behind the UK’s leading automotive marketing products. You’ll own how campaign, vehicle, and dealership data flows through the platform, replacing manual processes with reliable, scalable solutions.