Data Engineer

Data Engineer

Full-Time 54835 - 60927 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and maintain scalable data pipelines to deliver reliable, high-quality data.
  • Company: A social business focused on affordable housing and community support.
  • Benefits: Generous holiday, pension contributions, health plans, and flexible working options.
  • Why this job: Make a real impact on housing solutions while developing your data engineering skills.
  • Qualifications: Experience in data engineering, strong SQL skills, and knowledge of data governance.
  • Other info: Inclusive workplace committed to diversity and career growth opportunities.

The predicted salary is between 54835 - 60927 £ per year.

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.

We’re looking for someone with…

  • 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.

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.

We enjoy a benefits package that offers something for everyone, including…

  • 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.

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.

Data Engineer employer: B3Living

Join our dynamic team in Cheshunt, where we prioritise reliable data to drive meaningful change in our communities. As a Data Engineer, you'll benefit from a supportive work culture that values diversity and inclusion, alongside a comprehensive benefits package including generous holiday allowances, pension contributions, and flexible working arrangements. We are committed to your professional growth, offering opportunities to enhance your skills while making a positive impact on the housing crisis.
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Contact Detail:

B3Living Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the data engineering field, attend meetups, and engage in online forums. You never know who might have the inside scoop on job openings or can refer you directly.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on your SQL and Python skills. Be ready to tackle technical questions and even live coding challenges. Practising common data engineering scenarios will help you feel more confident when it’s your turn to shine.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our mission to make a positive change in the housing crisis.

We think you need these skills to ace Data Engineer

Data Engineering
Data Platform Development
SQL
Python
Spark
Data Pipeline Design
Data Modelling Concepts
Query Optimisation
Performance Tuning Techniques
Testing Frameworks
Error Handling
Data Governance Principles
GDPR Compliance
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, SQL skills, and any relevant projects that showcase your problem-solving abilities. We want to see how your background aligns with what we’re looking for!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our mission. Don’t forget to mention your familiarity with data governance principles and GDPR – it’s key for us!

Showcase Your Technical Skills: When listing your technical skills, be specific! Mention your experience with Microsoft Fabric, performance tuning techniques, and any testing frameworks you’ve used. We love seeing concrete examples of how you’ve applied these skills in past roles.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!

How to prepare for a job interview at B3Living

✨Know Your Data Engineering Basics

Make sure you brush up on your data engineering fundamentals, especially around data pipelines and models. Be ready to discuss your experience with SQL, Python, and Spark, as well as any specific projects where you've designed scalable solutions.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex data issues in the past. Think about times when you optimised performance or introduced error handling in your data processes. This will demonstrate your analytical skills and ability to troubleshoot effectively.

✨Familiarise Yourself with Governance Standards

Since data governance and GDPR compliance are crucial for this role, make sure you understand these principles. Be ready to discuss how you've ensured data security and compliance in your previous roles, as this will show you're aligned with the company's values.

✨Ask Insightful Questions

Prepare some thoughtful questions about the team and the projects you'll be working on. This not only shows your interest in the role but also gives you a chance to assess if the company culture and goals align with your own aspirations.

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