Offer summary

(Summary generated by AI based on the full job description)

The project involves rebuilding a data platform for marketing products in the automotive domain. Key technologies include SQL Server (T-SQL), Redshift, dbt, Python, AWS Glue, Airflow, Terraform, and CI/CD for databases. Responsibilities cover data pipeline re-engineering, production database management, data quality automation, and workload migrations. AI tools are used for query optimization and debugging daily.

newyou can start ASAP

Data Engineer

Company: Develocraft sp. z o.o.

from: 12 August 2026
to: 11 September 2026
salary not specifiedB2B contract (full-time)
Offer parameters
level:mid
working mode:remote
location:Gdańsk, Pomeranian
Gdańsk, Pomeranian

Requirements

Expected technologies

SQL
Python
Terraform
AWS Glue

Our 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.

Your 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.

This is how we organize our work

This is how we work

in house
Company
Data Engineer
I apply to:
Develocraft sp. z o.o.
Gdańsk, Pomeranian
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