National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

Bellrock Property and Facilities Management
Leicester
4 days ago
Create job alert

Senior Data Engineer

At Bellrock, we harness technology to give our customers an experience that not only leaves them with advanced building systems. But with peace of mind. And we unlock that by being technology-led, but people-driven. So when you’re part of Bellrock, you’ll get everything you need to be your best at work - because our people are the heart of our business. And we’re all about helping them to shine.

We are seeking a skilled and motivated data engineer to join our growing data team. The ideal candidate will have strong experience in Microsoft Fabric and be responsible for building, optimising and maintaining scalable data pipelines and architectures. You will work closely with data analysts and software engineers to ensure reliable data availability and efficient data processing to support data analytics and business decision making.

How will you be the change?

We believe every role is essential to providing that peace of mind for our customers - whatever part of the business you’re in. Because every role plays a part in driving us further. And everyone can be the change. That’s how deliver value for our customers, and building systems that lead the way

And as a Senior Data Engineer with Bellrock, you’ll do it by

  • Design, build and maintain scalable data pipelines and transformation processes using Microsoft Fabric components including Data Factory, OneLake, Dataflows and Notebooks.
  • Develop and manage data models that support and analytics solutions.
  • Develop ETL metadata driven processes and integrate data from diverse sources (on-cloud and on-premise) into centralised and governed environments using Fabrics capabilities.
  • Use metadata-driven pipelines to manage dynamic ingestion, transformation, and routing by customer to segregated containers
  • Ensure data quality, integrity, consistency, security, governance and compliance with industry standards (Uniclass & SFG20) across all storage layers.
  • Monitor performance, optimise data models and cost efficiency of Fabric components.
  • Collaborate with bi developers, data analysts and developers to support initiatives by understanding business requirements and translate them into technical data solutions.
  • Troubleshoot and resolve data related issues.
  • Implement best practises for data engineering including coding standards, testing and deployment.
  • Prepare and maintain documentation of data architecture, workflows and configurations.

What does it take?

If you’re ready to be the energy that helps us build our business, share our success, and really own it as a Senior Data Engineer, you’ll need

Requirements:

  • Proven experience as a data engineer or in a similar role.
  • Proven experience in delivery of Row-Level Security (RLS), Tenant-Level Security (TLS), and development for multi-customer (multi-tenant) architectures
  • Strong proficiency in programming languages such as Python, TSQL, Power Query and KQL.
  • Strong understanding of Data Factory, data pipelines, Notebooks and Lakehouses within Fabric.
  • Familiarity with Microsoft security and governance frameworks, including Purview and RBAC.
  • Excellent analytical and problem solving skills.
  • Stong proficiency in CI/CD practices relating to data delivery within Azure DevOps.

Desirable

  • An understanding of the lifecycle of machine learning models.
  • Experience with Azure Machine Learning or other cloud-based ML platforms for deploying and managing models.


Working arrangements

We embrace smarter working practices which offer our employees the opportunity to work their hours flexibly and remotely where their roles and business needs allow. In this role, the successful candidate would be required to work 1/2 days a week from Head Office, Leicester, LE1 6LP and the rest can be worked from home 08:30-17:00 Monday to Friday.


What can we offer you?

Upon joining Bellrock, you can expect a comprehensive benefits package including:

25 days annual leave plus bank holidays + 1 additional day as a thank you (enjoy it, it’s on us)

Salary exchange pension scheme

Life cover

Paid sick leave

Health Assured employee assistance and wellness program

Enhanced maternity, paternity and adoption leave

Salary sacrifice schemes: Cycle to work

Holiday purchase scheme of additional 5 days per year

Offers and discount scheme designed to save money on everyday shopping and essentials

Healthcare Cashplan

MotorSave Scheme

Refer a friend

Liftshare

Virtual GP


Helping you to shine

We’ve always encouraged new and different perspectives - and that also means making ours a workplace that encourages diverse and unique voices. Where everyone feels welcome, included, and supported to be themselves and achieve more.

So, if you join us, you’ll find an inclusive workplace that recognises your hard work, offers lots of learning and development, flexible and hybrid working, and support for your wellbeing. As well as benefits that can make a difference to your life.

Ready to start shining?

Our people are our passion, so we’re all about helping them to shine. That means putting everything in place for you to have a rewarding career with us. So you can go far in your career, with us behind you. And our business will grow, too. So, if you’re ready to start your career journey with Bellrock, we’re ready to welcome you. It’s a great place to be - the light, the energy, the solution. You.

Apply today.

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer - Snowflake - £100,000

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

Senior Data Engineer

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.

Part-Time Study Routes That Lead to Machine Learning Jobs: Evening Courses, Bootcamps & Online Masters

Machine learning—a subset of artificial intelligence—enables computers to learn from data and improve over time without explicit programming. From predictive maintenance in manufacturing to recommendation engines in e-commerce and diagnostic tools in healthcare, machine learning (ML) underpins many of today’s most innovative applications. In the UK, demand for ML professionals—engineers, data scientists, research scientists and ML operations specialists—is growing rapidly, with roles projected to increase by over 50% in the next five years. However, many aspiring ML practitioners cannot step away from work or personal commitments for full-time study. Thankfully, a rich ecosystem of part-time learning pathways—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn machine learning while working. This comprehensive guide examines each route: foundational CPD units, immersive bootcamps, accredited online MSc programmes, funding options, planning strategies and a real-world case study. Whether you’re a software developer branching into ML, a statistician aiming to upskill, or a professional exploring AI-driven innovation, you’ll discover how to build in-demand ML expertise on your own schedule.

The Ultimate Assessment-Centre Survival Guide for Machine Learning Jobs in the UK

Assessment centres for machine learning positions in the UK are designed to reflect the complexity and collaboration required in real-world ML projects. From psychometric assessments and live model-building tasks to group data science challenges and behavioural interviews, recruiters evaluate your statistical understanding, coding skills, communication and teamwork. Whether you specialise in deep learning, reinforcement learning or NLP, this guide offers a step-by-step approach to excel at every stage and secure your next ML role.