Money and Pensions Service
Data Engineer

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Bedford
Job Summary
Data Engineer
£53,000 per annum
Bedford Based
Hybrid Working
Permanent
Join us at the Money and Pensions Service (MaPS) as a Data Engineer where you will design and implement data pipelines to connect operational systems, engineering data for analytics and business intelligence (BI) systems in a cloud-only environment, predominantly Microsoft Fabric on Azure.
This role offers the opportunity to work with Senior Engineers on cloud-based data engineering pipelines and be part of developing our technical data architecture and platform.
We’re especially interested in candidates who can show how their technical work has solved real business problems or improved outcomes for users, not just a list of technical skills.
The Data Engineer reports to the Senior Data Engineer. The role is aligned to the Government Digital and Data Profession Capability Framework: Data Engineer: https://ddat-capability-framework.service.gov.uk/role/data-engineer#data-engineer
You’ll be part of a dynamic team dedicated to helping people across the UK improve their financial wellbeing.
Job Description
Key Responsibilities
Data Pipelines and ETL Processes
- ETL Implementation: Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions.
- Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow.
- Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery processes to maintain data integrity.
Azure Services
- Utilise Cloud based data technology platforms, Data Lake based storage & Cloud data pipeline/orchestration tools for efficient data storage, processing, and transfer.
- Ensure the scalability and reliability of data solutions using Azure's suite of services.
Collaboration
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Working within Agile methodology, helping to build clear user stories and work items.
Data Governance and Quality
- Ensure data governance policies are adhered to and maintain high standards of data quality and security.
- Develop pipelines using best practices for data management and integration.
- Ensure only thoroughly tested, high-quality code and resulting Data Products are delivered to the MaPS business.
Data Landscape
- Broad understanding & interest of architectural principles underlying modern data architecture. E.g. Data Lakes, External tables, medallion architecture, loose coupling.
- Reporting & analysis tooling. A high-level understanding of report tooling such as Power BI & the needs of analysts consuming engineered data into these tools.
Key Responsibilities
Data Pipelines and ETL Processes
- ETL Implementation: Implement ETL processes within MaPS architectural patterns to extract, transform, and load data from various source systems into our reporting solutions.
- Pipeline Development: Develop and configure meta-data driven data pipelines using data orchestration tools such as Azure Data factory and engineering tools like Apache Spark to ensure seamless data flow.
- Monitoring and Failure Recovery: Implement monitoring procedures to detect failures or unusual data profiles and establish recovery processes to maintain data integrity.
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Azure Services
- Utilise Cloud based data technology platforms, Data Lake based storage & Cloud data pipeline/orchestration tools for efficient data storage, processing, and transfer.
- Ensure the scalability and reliability of data solutions using Azure's suite of services.
Collaboration
- Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
- Working within Agile methodology, helping to build clear user stories and work items.
Data Governance and Quality
- Ensure data governance policies are adhered to and maintain high standards of data quality and security.
- Develop pipelines using best practices for data management and integration.
- Ensure only thoroughly tested, high-quality code and resulting Data Products are delivered to the MaPS business.
Data Landscape
- Broad understanding & interest of architectural principles underlying modern data architecture. E.g. Data Lakes, External tables, medallion architecture, loose coupling.
- Reporting & analysis tooling. A high-level understanding of report tooling such as Power BI & the needs of analysts consuming engineered data into these tools.
Person Specification
You will need to demonstrate the following skills and experience.
- Data Engineering experience, able to work independently following established patterns.
- Experience implementing ETL processes ideally in an Azure/MS Fabric environment.
- Experience and genuine competence in 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 and attention to detail.
- Strong communication and collaboration skills.
- MS Fabric interest, skills or experience a bonus.
- Willingness to learn and a genuine enthusiasm for cloud technology and data.
About Us
The Money and Pensions Service (MaPS) is based in Bedford, in a recently renovated modern office. This is a wonderful opportunity for you to become an integral part of a dynamic organisation, working to help people across the UK.
At The Heart Of The Money And Pensions Service Are Our Values – Caring, Connecting, And Transforming, Which Are The Foundation Of Our Success
They permeate every area of our work and define all our business relationships and the way we work with each other. We’re not only looking for the best people to come and work for us, but we need people who align themselves with our values.
Caring: We care about our colleagues and the people whose lives we are here to transform.
Connecting: We will transform lives through our ability to make positive connections.
Transforming: We are committed to transforming lives and making a positive societal impact.
Our Inclusive Working Environment
By fostering our values, we are immensely proud of the inclusive working environment that we have created. The diversity of our people is a strength that we embrace and wish to build upon, so we are committed to attracting people of all backgrounds. We work hard to ensure that we have a progressive approach to inclusion, equity, and belonging. We really do want our colleagues to “bring their whole selves to work.”


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What We Offer
This role will offer the opportunity to develop your career in a Cloud only environment with a high level of technical freedom, working with other highly technical and skilled engineers as well as benefits below:
- Generous Annual Leave – 30 days plus Bank Holidays
- Pension scheme – contributions matched 2 to 1 (up to 10% of your salary)
- Interest-free loan for season tickets for buses and trains
- Cycle to work Scheme
- Subsidised eye tests & flu jabs
- Life assurance scheme
- Give as you earn scheme
- Employee assistance programme (EAP)
- PAM Assist and PAM Life scheme (Wellbeing)
- Enhanced family and sick pay
- Paid volunteering (2 days a year)
- Recognition Scheme
- Discounts portal to numerous retailers
Artificial intelligence
Artificial intelligence can be a useful tool to support your application, however, all examples and statements provided must be truthful, factually accurate and taken directly from your own experience. Where plagiarism has been identified (presenting the ideas and experiences of others, or generated by artificial intelligence, as your own) applications may be withdrawn and internal candidates may be subject to disciplinary action. Please see our candidate guidance (opens in a new window) for more information on appropriate and inappropriate use.
Selection process details
Flexible Working
At MaPS, we take pride in our flexible approach to work. As standard, we work on a hybrid basis with a minimum of 1 day in the office per week. Hybrid working is a voluntary, non-contractual arrangement and our headquarters in Bedford will be your contractual place of work. The number of days that anyone will be able to work at home will be determined primarily by business needs, but personal and other relevant circumstances will also be considered. If you are successful, any opportunities for hybrid working, including whether a hybrid working arrangement is suitable for you, will be discussed with you prior to you taking up your post.
Career Development
In MaPS, we take career development seriously. We actively encourage and support applications from our existing MaPS colleagues. However, we do follow the Civil Service Commissioner recruitment principles, which means that you will be required to participate in a full, open, and fair process.
Reserve List
If you are successful at interview, we operate a reserve list where your details will be held for up to 6 months. Should a vacancy come available in that time with the same essential criteria, reserve list candidates will be offered that position with no further assessment required.
Application Process
The law requires that selection for appointment to the Civil Service is on merit on the basis of fair and open competition as outlined in the Civil Service Commission’s Recruitment Principles. If you feel your application has not been treated in accordance with the Recruitment Principles, and you wish to make a complaint, in the first instance, you should contact the Money and Pensions Service via email: recruitment@maps.org.uk. If you are not satisfied with the response you receive from the Department, you can contact the Civil Service Commission: Visit the Civil Service Commission website.
Job Reference: MaPS01320
Close Date: 05/10/
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