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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.

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