> Markdown version of [/jobs/ext/4652809-data-engineer](https://www.wearedevelopers.com/jobs/ext/4652809-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Anglian Water Group - **Location:** Peterborough, United Kingdom - **Experience:** Experienced - **Salary:** £46,000 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Business Analytics Applications, Microsoft Azure, Business Systems, Continuous Integration, Data as a Services, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Warehousing, Digital Technology, Meta-Data Management, Metadata Standards, SQL Databases, Data Ingestion, Data Lakes, Data Lineage, Data Pipelines, Databricks, Programming Languages - **Published:** November 10, 2026 - **Apply:** https://awg.wd3.myworkdayjobs.com/AW/job/Thorpe-Wood-House/Data-Engineer_R40844-2 ## About the Role You'll be an enthusiastic and technically capable data professional who enjoys solving complex problems and turning data into meaningful business insights. To be successful in this role, you'll ideally have: * Minimum of 2 years experience in a Data Engineering. * Experience designing and developing data pipelines, ETL processes, and data integration solutions. * Strong knowledge of Microsoft Azure data services and Databricks. * Experience working with data lakes, data warehouses, and modern cloud-based data architectures. * Understanding of data modelling, metadata management, data lineage, and data governance principles. * Experience using SQL and other relevant data engineering technologies and programming languages. * Knowledge of CI/CD principles and best practices within data engineering environments. * Experience managing APIs and integrating data across multiple business systems. * Strong analytical and troubleshooting skills with a focus on data quality and reliability. * The ability to communicate technical concepts clearly to both technical and non-technical audiences. * A collaborative mindset and a passion for continuous learning and innovation. ## Description As a Data Engineer, you'll be responsible for developing and maintaining the data ecosystem that powers reporting, analytics, and innovation across the alliance. Your responsibilities will include: * Designing, building, and maintaining scalable data pipelines within Microsoft Azure and Databricks environments. * Developing robust data ingestion, transformation, and integration processes from multiple data sources. * Managing and optimising enterprise data architecture using Bronze, Silver, and Gold medallion frameworks. * Ensuring data quality, accuracy, governance, and traceability across all data assets. * Supporting the delivery of reporting and analytics solutions by making trusted data available through centralised platforms. * Managing APIs and integrations between key digital systems and platforms. * Creating and maintaining technical documentation, data lineage models, architecture diagrams, and metadata standards. * Monitoring, troubleshooting, and resolving data-related issues to ensure reliable service delivery. * Supporting CI/CD practices and the industrialisation of data products and solutions. * Developing proof-of-concept and minimum viable product solutions that help solve business challenges. * Working closely with analysts, data scientists, reporting teams, and business stakeholders to deliver value-driven outcomes. * Identifying opportunities to improve business performance through innovative uses of data and emerging technologies.