Overview:
We're seeking a skilled DevOps Data Engineer for a fully remote contract role. You'll support the development of an automated data platform enabling real-time ingestion, validation, and reporting. The ideal candidate will have strong experience with Azure-based data engineering tools, Python scripting, and scalable pipeline design.
Key Responsibilities:
- Develop and maintain ETL/ELT pipelines for ingesting benchmark data (e.g., CSVs from Qualtrics).
- Implement automated data quality checks across pipeline stages.
- Build event-driven workflows using Azure Data Factory and Databricks.
- Support automated reporting integrations (Power BI and PowerPoint).
- Optimize storage and processing within Azure Data Lake and SQL-based systems.
- Collaborate on data modelling (star/snowflake schemas) with architects and analysts.
- Monitor and troubleshoot data platform components using Azure Monitor.
- Contribute to CI/CD practices and documentation for long-term maintainability.
Essential Skills:
- Advanced Python scripting and data manipulation.
- Strong SQL for querying and transformation.
- Hands-on with Azure Data Factory, Azure Data Lake, Azure Databricks, and Azure SQL.
- Understanding of data modelling techniques and governance.
- Experience with Azure Monitor, Key Vault, and managed identities.
Desirable:
- Familiarity with AI/ML data patterns (e.g. vector databases, RAG).
- Automated Power BI or PowerPoint reporting experience.
- Exposure to DevOps tools (CI/CD, Git, infrastructure as code).
Environment:
- Agile, delivery-focused culture with rapid feedback loops.
- Strong focus on quality, automation, and cross-functional collaboration.
High-impact data platform supporting analytics and automation initiatives
GCS is acting as an Employment Business in relation to this vacancy.

DevOps Data Engineer
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