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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Experis - **Location:** Warwick, UK - **Experience:** Expert - **Salary:** £122,200.0 - **Contract:** Temporary contract - **Skills:** Information Engineering, Data Systems, Data Visualization, Database Queries, Python (Programming Language), Metadata, Power BI, Cloud Services, DataOps, Scripting, Azure Data Factory, DevOps Tools - Open-source, Snowflake, Deployment Automation, Data Pipelines - **Published:** September 24, 2026 - **Apply:** https://www.experis.co.uk/job/sr-data-engineer-6037090/apply ## About the Role The ideal candidate should have strong experience with Azure Data Factory, Snowflake, and DataOps. live, along with a good understanding of Data Product concepts, data integration, orchestration, and engineering best practices. Power BI experience is desirable and would be considered a good-to-have skill., * Hands-on experience with Azure Data Factory, including pipeline orchestration, triggers, linked services, datasets, and monitoring. * Strong SQL skills and experience working with cloud data platforms such as Snowflake. * Experience with DataOps.live or similar DataOps/DevOps tooling for automated deployment and environment management. * Understanding of Data Product concepts, metadata, governance, and documentation practices. * Good-to-have experience in Power BI for reporting, dashboards, and data visualisation. * Knowledge of Python or another scripting language would be advantageous. Key Competencies * Strong analytical and problem-solving skills. * Ability to build reliable, scalable, and maintainable data solutions. * Good communication skills with the ability to work across business, data, and engineering teams. * Attention to detail, especially around data quality, reconciliation, and documentation. * Ability to work in an agile delivery environment and manage priorities effectively. ## Description We are looking for a skilled Data Engineer with hands-on experience in designing, building, and supporting scalable data pipelines and data products across modern cloud data platforms., Data Engineering & Pipeline Development * Design, build, and maintain scalable data pipelines using Azure Data Factory. * Develop robust ETL/ELT processes to ingest, transform, and publish data across enterprise platforms. * Work with structured and semi-structured data, applying appropriate data modelling, validation, and quality checks. * Write and optimise SQL for data transformation, reconciliation, and performance tuning. Cloud Data Platform & DataOps * Develop and support data solutions on Snowflake as a core cloud data platform. * Use DataOps.live practices and tooling to support version-controlled, automated, and repeatable data deployments. * Collaborate with engineering and platform teams to implement CI/CD, environment management, and release controls for data assets. * Support monitoring, troubleshooting, and continuous improvement of data pipelines and platform processes. Data Product Development * Contribute to the design and delivery of reusable Data Products aligned to business and analytical needs. * Apply data product principles such as ownership, discoverability, quality, reusability, and clear documentation. * Work with business stakeholders, analysts, and technical teams to understand data requirements and translate them into reliable data solutions. * Ensure data outputs are trusted, governed, and suitable for downstream reporting, analytics, and operational use cases. Good-to-Have: Reporting & Analytics * Familiarity with Power BI reporting, semantic models, datasets, and dashboard development. * Ability to support reporting teams by providing well-structured, performance-optimised data models. * Understanding of business KPIs and how data engineering outputs support analytics and decision-making. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Data: The Deciding Factor in AI Success](https://www.wearedevelopers.com/videos/100310-data-the-deciding-factor-in-ai-success) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)