Senior Data Engineer - Azure

Published:

Salary:

Location:

Category:

Permanent

Sector:

Data

Reference:

4760

Work Model:

On-Site

Description

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.

• 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 Factory  and  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.

• Proven experience as a Data Engineer, with a focus on  Azure services .
• Strong expertise in designing and implementing  ETL processe s.
• Experience using  SQL  to 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 recovery  in 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 with  Spark/PySpark or Python  is a bonus, or a willingness to develop these skills.

• 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 options  are available on a hybrid basis, with a minimum of two days per week in the office.
• Career and Development  includes an award-winning Management & Leadership Academy, funding for professional and personal development, and access to a digital learning platform.