4 дня назад
Data Engineer (SQL/Redshift)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data Engineer (SQL/Redshift): Re-engineering a marketing data platform for campaign, vehicle, and dealership data with an accent on dbt transformations, warehouse modelling, production database ownership, and automated ingestion. Focus on migrating legacy SQL Server workloads, building data-quality controls and CI/CD, and creating repeatable onboarding pipelines for automotive clients.
Company
is hiring for a client in the financial services sector, rebuilding the data platform behind UK automotive marketing products.
What you will do
- Re-engineer marketing data pipelines with ingestion workflows, dbt transformations, and Redshift warehouse models.
- Own production databases, including performance, integrity, security, and cost management.
- Introduce CI/CD for database development, with version-controlled, tested, and deployable schema changes.
- Automate data-quality processes and migrate legacy SFTP workflows to AWS Transfer Family.
- Build repeatable ingestion, validation, and mapping processes for automated automotive client onboarding.
- Use AI tooling such as Claude for query optimisation, pipeline debugging, and documentation.
Requirements
- 3–5 years of hands-on experience building data pipelines or managing production databases.
- Expert SQL skills, including production experience with SQL Server and T-SQL, plus a columnar warehouse such as Redshift, Snowflake, or BigQuery.
- Experience with dbt or similar transformation frameworks, Python, and orchestration or ETL tools such as AWS Glue, Airflow, or Step Functions.
- Experience with Terraform, CloudFormation, or CDK and CI/CD pipelines.
- Proven experience migrating data workloads with parallel runs, reconciliation, validation checks, and controlled cutovers.
- Comfortable working in English with UK-based stakeholders and documenting pipelines for ongoing operation and maintenance.
Culture & Benefits
- Open communication, knowledge sharing, and collaborative feedback are encouraged.
- Support is provided for identifying improvement areas and pursuing personal and organisational growth.
- Team members share experience and help each other solve problems.
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