Senior Data Engineer (Fabric) in Bradford

Senior Data Engineer (Fabric) in Bradford

Bradford Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build innovative data solutions using Microsoft Fabric for a leading digital retail company.
  • Company: Join FGH, a forward-thinking tech-driven online retailer with a rich heritage.
  • Benefits: Enjoy competitive salary, 37 days holiday, staff discounts, and flexible working options.
  • Why this job: Make a real impact on data-driven decision-making and shape the future of retail.
  • Qualifications: Experience in SQL, Python, and data pipeline development; relevant degree or certification required.
  • Other info: Embrace a culture of inclusivity, continuous learning, and career growth opportunities.

The predicted salary is between 36000 - 60000 £ per year.

FGH Business Centre 66-70 Vicar Ln, Bradford BD1 5AJ

Hybrid flexibility: 2 office days per week

About The Role

At FGH, data is not a reporting afterthought - it is a strategic enabler for growth, efficiency, and AI-driven decision-making. As a Senior Data Engineer, you will play a pivotal role in transforming how data is designed, delivered, and consumed across a digital retail organisation, shaping and operationalising our modern data and AI platform, working at the intersection of architecture, engineering, and innovation. This role offers the opportunity to build at scale, influence platform direction, and directly enable advanced analytics and AI use cases across the business.

You’ll work closely with our Data Architect, BI teams, and cross-functional data product owners to build a next-generation data platform using Microsoft Fabric, Lakehouse architecture.

Accountabilities

  • Solution Delivery
    • You will be working with the FGH business to design & build end-to-end ETL data solutions using Microsoft Fabric as well as real-time data processing.
    • You will design and build data pipelines using Data Flows (Gen2) and Fabric Notebooks (Spark SQL & Python) to ingest and transform data from on-prem and third-party data solutions.
    • Design and develop Data Lakehouse’s using Medallion architecture standards.
    • Implement Semantic Layers using Star Schema Modelling (Kimball) & DAX in collaboration with the BI Team/Lead.
    • Deployment of versioned artifacts using DevOps CI/CD.
    • Support data product teams with reusable components and infrastructure.
    • Optimise data storage and retrieval for analytics, AI, and operational use cases.
  • Data Governance & Compliance
    • Embed data quality, lineage, and observability into all pipelines.
    • Support metadata management and data cataloguing initiatives.
    • Ensure compliance with data protection standards (e.g., GDPR, ISO 27001).
    • Collaborate with InfoSec and Risk teams to implement secure data handling practices.
  • Data Integration & Management
    • Integrate data from internal and third-party sources (e.g., CRM, ERP, APIs).
    • Ensure consistency, interoperability, and performance across data flows.
    • Monitor and troubleshoot pipeline health and data reliability.
    • Support real-time and batch processing environments.
    • Apply engineering principles that support modularity, scalability, and resilience.
    • Automate deployment, testing, and monitoring of data pipelines.
    • Contribute to platform sustainability and energy efficiency.
    • Align engineering practices with enterprise architecture and business goals.
  • Relationship Management
    • Collaborate with data architects, analysts, and business stakeholders.
    • Engage with platform teams to ensure infrastructure readiness.
    • Support data product teams with technical enablement and onboarding.
    • Evaluate and manage third-party data tools and services.
  • Personal & Professional Development
    • Stay current with emerging data engineering tools and cloud services.
    • Pursue relevant certifications and continuous learning (Fabric Data Engineer - DP-700).
    • Contribute to knowledge sharing and mentoring within the data community.
    • Promote a culture of data reliability, automation, and innovation.

About You

  • Able to commute to Bradford City Centre
  • A relevant computer degree or Microsoft Certification, e.g. DP-700: Designing and Implementing a Data Analytics Solution Using Microsoft Fabric
  • Evidence of formal training, certification or several years of experience in SQL, Python, or Spark. Familiarity with data mapping frameworks.

Engineering & Technical Skills

  • Data Pipeline Development: Proven experience designing and building scalable ETL/ELT pipelines.
  • Data Platform: Direct experience working with the Microsoft Fabric Platform (Data flow Gen2, Notebooks & Semantic Models) and storage solutions (e.g., Data Lake, Delta Lake).
  • Programming & Scripting: Proficiency in SQL and Python for data manipulation, transformation, and automation; familiarity with Spark-SQL.
  • Data Integration: Experience integrating structured and unstructured data from diverse sources including APIs, flat files, databases, and third-party platforms (e.g., CRM, ERP).
  • Data Observability & Quality: Ability to implement monitoring, logging, and alerting for data pipelines.
  • Ability to translate architectural designs into operational data solutions.

For over 100 years, Freemans has been at the forefront of home shopping, delivering quality products and exceptional service. We’ve accepted the challenge to transform our business into a modern, digital-first retailer. With a rich heritage and an eye on the future, we are a forward-thinking, tech-driven online retail business, making fabulous fashion and stylish homewares accessible and affordable for everyone. Based in West Yorkshire and part of the OTTO group one of the world’s largest online retail organisations, Freemans Grattan Holdings (FGH) is the home of familiar brands such as Freemans, Grattan, Kaleidoscope, and Curvissa.

What We Offer You

  • FLEXIBILITY: We offer a range of hybrid and flexible working options to help you achieve a healthy work-life balance. Our full-time head office colleagues work a minimum of 2 days per week in the office, allowing the perfect balance between collaborative in-person teamwork and the flexibility to work from home.
  • TRAINING & DEVELOPMENT: Turning your job into a career is a real passion for us and our development programmes will enable you to grow in role. We offer clear career pathways that will show you the way, outlining the skills, behaviours and knowledge needed to perform at the next step. We invest in our colleagues, giving them all the opportunity to progress. Our inspired leadership programme is aimed at equipping our future leaders to coach, develop, manage change and maintain situational awareness.
  • INCLUSIVITY: As a business, we depend on a fusion of identities, characteristics, backgrounds, and cultures to fully appreciate our people and our customers. Freemans has a long-standing commitment to ensuring fairness and balance. Our company is an inclusive organisation where everybody can make the most of their talent and abilities. Our pay, reward, and progression approach is based solely on fairness and merit. We firmly believe that we should reward our brilliant people with extensive benefits to help them stay healthy, relax and re-energise, have fun, manage the day-to-day and plan for the future.

Here are just some of our great benefits:

  • Competitive salaries and annual bonus scheme
  • 37 days holiday
  • Life assurance
  • Paid paternity and maternity leave
  • Incredible staff discounts
  • Subsidised Canteen

Ready to apply? If you’re excited about this opportunity and want to join FGH, click apply now to send us your application.

Senior Data Engineer (Fabric) in Bradford employer: FGH (Freemans Grattan Holdings)

At FGH, we pride ourselves on being an exceptional employer that champions flexibility, inclusivity, and professional growth. Our hybrid working model allows for a balanced work-life dynamic, while our commitment to training and development ensures that you can advance your career in a supportive environment. With competitive salaries, generous benefits, and a culture that values diverse perspectives, FGH is the ideal place for those looking to make a meaningful impact in the digital retail space.
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Contact Detail:

FGH (Freemans Grattan Holdings) Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Senior Data Engineer (Fabric) in Bradford

✨Tip Number 1

Network like a pro! Reach out to current employees at FGH on LinkedIn or through mutual connections. A friendly chat can give you insider info and might just get your foot in the door.

✨Tip Number 2

Prepare for the interview by brushing up on your technical skills. Make sure you can confidently discuss your experience with Microsoft Fabric, SQL, and Python. We want to see how you can bring your expertise to the team!

✨Tip Number 3

Showcase your passion for data engineering! During interviews, share examples of projects where you've implemented innovative solutions or optimised processes. Let us see your problem-solving skills in action.

✨Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email expressing your enthusiasm for the role can leave a lasting impression. It shows us that you're genuinely interested in joining the FGH family.

We think you need these skills to ace Senior Data Engineer (Fabric) in Bradford

ETL Data Solutions
Microsoft Fabric
Data Flows (Gen2)
Fabric Notebooks (Spark SQL & Python)
Data Lakehouse Architecture
Star Schema Modelling (Kimball)
DAX
DevOps CI/CD
Data Integration
SQL
Python
Spark-SQL
Data Quality and Observability
Data Governance
APIs Integration

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Microsoft Fabric, ETL processes, and any relevant projects that showcase your skills in data engineering.

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 your background aligns with FGH's mission. Don’t forget to mention your familiarity with AI-driven decision-making!

Showcase Your Technical Skills: Be specific about your technical skills in SQL, Python, and Spark. Include examples of how you've used these tools in past projects, especially in building scalable data pipelines or working with data lakehouse architectures.

Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves!

How to prepare for a job interview at FGH (Freemans Grattan Holdings)

✨Know Your Tech Stack

Make sure you’re well-versed in Microsoft Fabric, SQL, and Python. Brush up on your knowledge of Data Flows and Spark SQL, as these will likely come up during the interview. Being able to discuss your experience with ETL processes and data pipeline development will show that you’re ready for the role.

✨Showcase Your Problem-Solving Skills

Prepare to discuss specific challenges you've faced in previous roles and how you overcame them. Think about times when you had to troubleshoot data pipeline issues or optimise data storage. This will demonstrate your ability to think critically and adapt in a fast-paced environment.

✨Understand the Business Context

Research FGH and its approach to data as a strategic enabler. Be ready to talk about how your work as a Senior Data Engineer can directly impact their goals, especially in terms of AI-driven decision-making and operational efficiency. This shows that you’re not just technically skilled but also aligned with their vision.

✨Ask Insightful Questions

Prepare thoughtful questions about the team dynamics, ongoing projects, and future data initiatives at FGH. This not only shows your interest in the role but also helps you gauge if the company culture aligns with your values. Plus, it’s a great way to engage with your interviewers!

Senior Data Engineer (Fabric) in Bradford
FGH (Freemans Grattan Holdings)
Location: Bradford
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