At a Glance
- Tasks: Design and build a cutting-edge Microsoft Fabric data platform from scratch.
- Company: Leading omni-channel baby & nursery brand with a focus on IT and Data.
- Benefits: 33 days holiday, company bonuses, significant staff discounts, and hybrid working options.
- Other info: Supportive work environment with opportunities for personal and professional growth.
- Why this job: Join a dynamic team and shape the future of data analytics in a growing company.
- Qualifications: Strong understanding of Microsoft Fabric, SQL skills, and data modelling experience.
The predicted salary is between 36000 - 60000 £ per year.
As we embark on a significant growth spurt as the leading omni‑channel baby & nursery brand, with significant investment into IT and Data, we are looking to recruit a Data Analytics Engineer (Microsoft Fabric) to be based at our Huddersfield (HD5 0RH) head office. In this role you will design, build and maintain a new Microsoft Fabric data platform from the ground up. This combines strong data architecture skills with hands‑on data engineering capability, supporting the end‑to‑end creation of data pipelines, modelling layers and semantic models. You will work closely with an external partner to ensure our data foundations are modern, scalable and aligned to best practice.
Key Responsibilities
- Implement a new Microsoft Fabric platform from the ground up in partnership with an external provider.
- Support the design and development of end‑to‑end data pipelines within Microsoft Fabric, including ingestion, transformation, orchestration and monitoring.
- Develop and maintain Lakehouse / Warehouse structures (tables, views, schemas, partitions).
- Build and optimise Dataflows Gen2 and other Fabric ingestion methods.
- Collaborate on platform architecture, performance considerations and modelling best practice.
- Implement and maintain core engineering standards: naming conventions, folder structures, workspace organisation.
- Integrate operational systems (ERP, POS, eCommerce, CRM, HR, Finance) into OneLake.
- Support data quality frameworks, validation rules and automated checks.
Collaboration
- Document data definitions, business rules and quality controls.
- Support ingestion of source data from bespoke internal systems and third‑party applications covering retail and wholesale sales, stock, customer, supply chain and finance.
- Apply good practice in star‑schema modelling, incremental refresh and DAX/M query optimisation.
- Work with software developers, analysts and self‑serve users to shape reporting requirements and ensure data models support their needs.
Data Governance & Quality
- Foster a culture of strong data governance.
- Ensure reporting follows consistent definitions and KPIs across the organisation.
- Implement data validation checks and work with system owners to resolve quality issues.
- Help maintain data catalogues, security rules and sensitivity classifications within Fabric / Azure.
Essential Skills and Experience
- Solid understanding of Microsoft Fabric, particularly Lakehouses / Warehouses, Dataflows Gen2, Pipelines & notebooks, OneLake data architecture.
- Good knowledge of data modelling (star‑schema, fact/dimension design, calculations, DAX, M).
- Strong SQL skills and ability to work with structured and unstructured data.
- Comfortable working in an environment where the data platform is being built from scratch.
Desirable
- Experience with Azure Synapse, Databricks or other cloud data technologies.
- Exposure to Python or notebooks for data wrangling.
- Understanding of Continuous Integration / Continuous Deployment, DevOps or version control for BI/workspaces.
Benefits
- 33 days holiday, increasing up to 40 with service.
- Buy & Sell holiday schemes.
- Company bonus schemes.
- Employer pension contribution from day 1 enrolment.
- Significant staff discounts for family and friends from our shops and online stores.
- Ongoing offers and discounts across a variety of external organisations.
- Subsidised health & critical illness cover and insurances.
- Supportive family‑related leave policies (enhanced pay for maternity, IVF & fertility, surrogacy, paternity, adoption and shared parental leave).
- Supportive foster care & carer leave offering.
- Support for loss and bereavement.
- Menopause‑friendly employer.
- Employee recognition and appreciation schemes.
- Work environment that supports sustainability and opportunities for growth.
Work Arrangement
- Hybrid flexi working – 3 days in the office.
- Flexi‑time schemes based around core working hours, whether in the office or working from home.
- Free car parking, prayer & contemplation room, subsidised canteen, free tea & coffee, games & TV rooms and more.
Location
Colne Bridge Road, Huddersfield, West Yorkshire, HD5 0RH
Apply Today – Take those amazing first steps!
Data Analytics Engineer (Microsoft Fabric) in Crowborough employer: Mamas & Papas
As a leading omni-channel baby and nursery brand, we pride ourselves on being an excellent employer that fosters a supportive and inclusive work culture. Our Huddersfield head office offers a range of benefits including generous holiday allowances, significant staff discounts, and a commitment to employee well-being through enhanced family-related leave policies. With a focus on professional growth and sustainability, we provide our Data Analytics Engineers with the opportunity to build innovative data solutions while enjoying a flexible working environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Analytics Engineer (Microsoft Fabric) in Crowborough
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or at industry events. A friendly chat can give you insider info and maybe even a referral, which is always a bonus!
✨Tip Number 2
Show off your skills in real-time! If you get the chance, ask for a technical interview or a practical test. This is your moment to shine and demonstrate your data engineering chops with Microsoft Fabric.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your SQL and data modelling knowledge. Be ready to discuss your experience with Lakehouses and Warehouses, as well as how you tackle data quality issues.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team!
We think you need these skills to ace Data Analytics Engineer (Microsoft Fabric) in Crowborough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Analytics Engineer role. Highlight your experience with Microsoft Fabric, data pipelines, and any relevant projects you've worked on. We want to see how your skills align 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 analytics and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to showcase your technical skills in SQL, data modelling, and any experience with Azure or Python. We love seeing candidates who can demonstrate their hands-on capabilities, so include examples of your work!
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 from us!
How to prepare for a job interview at Mamas & Papas
✨Know Your Microsoft Fabric Inside Out
Make sure you brush up on your knowledge of Microsoft Fabric, especially Lakehouses and Dataflows Gen2. Be ready to discuss how you've used these technologies in past projects or how you would approach building a data platform from scratch.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with data modelling techniques like star-schema design and DAX calculations. Bring examples of how you've implemented these in previous roles, as this will demonstrate your hands-on capability.
✨Collaboration is Key
Since this role involves working closely with external partners and various teams, be ready to share examples of successful collaborations. Highlight how you’ve communicated complex data concepts to non-technical stakeholders.
✨Emphasise Data Governance Experience
Foster a culture of strong data governance is crucial for this position. Be prepared to discuss any frameworks or practices you've implemented in the past to ensure data quality and compliance, as this will show your commitment to best practices.
