Senior Data Engineer – Azure | £60,000 basic per annum | Milton Keynes | Hybrid Working
Join a growing data function within an organisation dedicated to helping people across the UK improve their financial well‑being. In this role, you’ll be responsible for designing and leading the implementation of data flows that connect operational systems for analytic, primarily within an Azure environment.
What you'll do:
- Data Pipelines and ETL Processes: Design, develop, and implement ETL (extract, transform, load) processes and meta‑data driven data pipelines using tools like Azure Data Factoryand Apache Spark.
- Monitoring and Failure Recovery: Create monitoring procedures to detect failures or unusual data profiles and establish recovery processes to ensure data integrity.
- Azure Services: Use Azure's suite of services, including cloud-based data technology platforms and Data Lake‑based storage, to ensure data solutions are scalable and reliable.
- Collaboration and Leadership: Partner with data scientists, analysts, and other stakeholders to deliver solutions that meet their data needs. You will also provide technical leadership and mentorship to junior data engineers.
- Data Governance and Quality: Enforce data governance policies, maintain high standards of data quality and security, and ensure only thoroughly tested, high‑quality code and architecture are delivered.
What you'll bring:
- Proven experience as a Data Engineer, with a focus on Azure services.
- Strong expertise in designing and implementingETL processes.
- Experience using SQLto query and manipulate data.
- Proficiency in Azure data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Lake Storage/One Lake,and Azure Data Factory.
- Experience with monitoring and failure recoveryin data pipelines.
- Understanding of data extraction from vendor REST APIs.
- Strong communication, collaboration, and problem‑solving skills.
- Knowledge of modern data architecture principles like Data Lakes, External tables, and medallion architecture is an asset.
- Experience withSpark/PySpark or Pythonis a bonus, or a willingness to develop these skills.
Benefits:
- Pension scheme: a salary sacrifice scheme with a 2:1 employer match on contributions up to 10% of your salary.
- Annual Leave: up to 30 days of annual leave plus bank holidays.
- Life Assurance Plan: a lump sum payment of up to 4 times your salary.
- Financial Benefits: includes bi‑annual pay reviews, interest‑free season ticket and parking permit loans, a Cycle to Work scheme, and a "Give as You Earn" scheme for charitable donations. You can also get one‑on‑one financial wellbeing sessions and access discounts.
- Health and Wellbeing: Health Cash Plan, discounted gym memberships, funded eye tests, and seasonal flu vouchers. You'll also have access to a confidential Employee Assistance Programme (EAP) with 24/7 counselling and a Mental Health First Aider Network.
- Flexible working optionsare available on a hybrid basis, with a minimum of two days per week in the office.
- Career and Developmentincludes an award-winning Management & Leadership Academy, funding for professional and personal development, and access to a digital learning platform.
Hit apply to find out more.
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