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Data Engineer

B3Living

Hertford

On-site

GBP 54,000 - 61,000

Full time

9 days ago

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Job summary

A community-focused housing provider in Cheshunt is looking for a Data Engineer to design and maintain data pipelines. The role involves improving data quality, monitoring performance, and ensuring compliance with data governance standards. The ideal candidate will have a strong background in data engineering, with skills in SQL, Python, and experience in optimising data processes. This position offers a salary range of £54,835 - £60,927 per annum and includes excellent benefits.

Benefits

27 days’ holiday plus bank holidays
Up to 12% pension contribution
Life assurance (three times salary)
Flexible working arrangements

Qualifications

  • Proven experience in data engineering or data platform development.
  • Experience with testing frameworks and writing test plans for data pipelines.
  • Strong analytical and problem-solving skills.

Responsibilities

  • Design and maintain scalable data pipelines and robust data models to ensure data is accurate, accessible, and secure.
  • Improve troubleshooting by introducing error handling and logging.
  • Monitor data performance and apply fine-tuning techniques to optimise efficiency.

Skills

Data engineering
SQL
Python
Spark
Data modelling concepts
Analytical skills
Problem-solving skills

Tools

Microsoft Fabric
Job description
Overview

Based in Cheshunt, Hertfordshire. Permanent, full-time, 37 hours per week.

Salary: £54,835 - £60,927 per annum

Reliable data is at the heart of good decision-making. We’re looking for an experienced Data Engineer to join our newly established data team and work with them to deliver reliable, high-quality data that supports informed decision-making and enables us to deliver better outcomes for our customers.

In this role, you’ll design and maintain scalable data pipelines and robust data models, helping to ensure our data is accurate, accessible, and secure. You’ll also improve troubleshooting by introducing error handling and logging and optimise efficiency by monitoring data performance and applying fine tuning techniques. Writing complex queries (SQL, Python and Spark), documenting data structures and working with colleagues to respond to business needs while ensuring alignment with governance standards and GDPR are also key in this role.

Responsibilities
  • Design and maintain scalable data pipelines and robust data models to ensure data is accurate, accessible, and secure.
  • Improve troubleshooting by introducing error handling and logging.
  • Monitor data performance and apply fine-tuning techniques to optimise efficiency.
  • Write complex queries (SQL, Python and Spark).
  • Document data structures and work with colleagues to respond to business needs while ensuring alignment with governance standards and GDPR.
Qualifications
  • Proven experience in data engineering or data platform development.
  • Experience with testing frameworks and writing test plans for data pipelines.
  • Strong analytical and problem-solving skills.
  • Strong SQL skills and experience with query optimisation.
  • Knowledge of Microsoft Fabric (Lakehouse, Dataflows, ADF).
  • An understanding of data modelling concepts (e.g. dimensional, star schema, denormalisation).
  • Knowledge of performance tuning techniques for ETL and SQL processes.
  • Familiarity with data governance principles and GDPR.
Other information

Due to the type of data you’ll have access to in this role, you’ll be required to undertake a basic criminal record (DBS) check.

We’re a social business, based in Cheshunt and across southeast Hertfordshire, helping local people by renting or selling affordable homes. We offer services designed to help our customers live comfortably in their homes, and we work to keep our buildings and estates maintained, offering support when money becomes an issue or when people get older. Our mission is to make a sustainable, positive change to the housing crisis for our customers and communities.

Benefits
  • 27 days’ holiday plus bank holidays (pro rata for part-time colleagues).
  • Buy and sell holiday scheme.
  • Cross-organisational bonus scheme.
  • Up to 12% pension contribution.
  • Life assurance (three times salary).
  • Funded health cash plan or subsidised private medical insurance.
  • Range of special and family leave.
  • Car loans, cycle to work and electric car lease scheme.
  • Discount vouchers and more.

The closing date for this vacancy is 2nd February 2026.

We are a Disability Confident employer, which means that we offer an interview to a fair and proportionate number of disabled applicants who meet the minimum selection criteria for the job.

Other organisations may call this role ETL Engineer, Data Pipeline Engineer, Analytics Engineer, Data Platform Engineer, or BI Developer.

We’re committed to building an inclusive workplace where equity, diversity and inclusion are part of our culture, as we recognise the benefits of a diverse workforce. Our 3-year EDI strategy outlines how we’ll achieve this. We strongly welcome applications from underrepresented groups and groups which are identified as a priority within our strategy, including LGBTQIA+, Black, Asian and Minority Ethnic communities, applicants with disabilities and people under 30.

We understand that some candidates, particularly from certain groups, may hesitate to apply unless they meet every requirement. While we’re looking for people with the right skills and experience, we also value diverse backgrounds and transferable skills. If you meet most of the criteria and believe you’d thrive in the role, we encourage you to apply.

All our vacancies are open to flexible working arrangements, something we are really proud of. The extent to which flexible working is possible will vary between jobs according to the needs of the business and our customers.

So, if you’re ready to take your next step as a Data Engineer, please apply via the button shown. This vacancy is being advertised by Webrecruit. The services advertised by Webrecruit are those of an Employment Agency

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