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Data Engineer

Money and Pensions Service
Bedford, GBR
Hybrid
£53,000 per annum
Discovered 1 months ago
Data engineeringETL processesSQLCloud data toolingMicrosoft AzureMicrosoft Fabric

Full Job Posting

Role overview

Money and Pensions Service is seeking a Data Engineer to design and implement data pipelines connecting operational systems with analytics and business intelligence systems.

The role operates in a cloud-only environment, predominantly using Microsoft Fabric on Azure.

The Data Engineer reports to a Senior Data Engineer and works with Senior Engineers on cloud-based data engineering pipelines and technical data architecture.

Compensation

  • The salary is approximately £53,000 per annum.

Workplace and employment

  • The role is based in Bedford.
  • Some hybrid working is possible.
  • The position is permanent.

Key responsibilities

  • Implement ETL processes to extract, transform, and load data from source systems into reporting solutions.
  • Develop and configure metadata-driven data pipelines using Azure Data Factory, Apache Spark, and related tools.
  • Monitor pipelines for failures or unusual data profiles and establish recovery processes.
  • Use cloud data platforms, data lake storage, and cloud orchestration tools for data storage, processing, and transfer.
  • Ensure data solutions are scalable, reliable, secure, and compliant with governance policies.
  • Work with data scientists, analysts, and stakeholders to understand requirements and deliver solutions.
  • Work within Agile methodology to build clear user stories and work items.
  • Deliver thoroughly tested, high-quality code and data products.
  • Apply modern data architecture principles such as data lakes, external tables, medallion architecture, and loose coupling.

Required skills and experience

  • Demonstrated data engineering experience and ability to work independently following established patterns.
  • Experience implementing ETL processes, ideally in an Azure or Microsoft Fabric environment.
  • Genuine competence using SQL to query and manipulate data.
  • Proficiency in cloud data tooling such as Synapse Analytics, Microsoft Fabric, Azure Data Factory, or AWS equivalents.
  • Spark, PySpark, or Python skills.
  • Excellent problem-solving skills, attention to detail, communication, and collaboration skills.
  • Willingness to learn and enthusiasm for cloud technology and data.
  • Microsoft Fabric interest, skills, or experience is a bonus.

Data architecture and reporting

  • The role requires broad understanding and interest in modern data architecture principles.
  • Relevant concepts include data lakes, external tables, medallion architecture, and loose coupling.
  • A high-level understanding of reporting tools such as Power BI and the needs of analysts consuming engineered data is relevant.

About Money and Pensions Service

Money and Pensions Service works to help people across the UK improve their financial wellbeing.

The organisation describes its values as caring, connecting, and transforming.

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