Bettys & Taylors of Harrogate
Fabric Data Engineer
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Join us as a Fabric Data Engineer at Bettys and Taylors Group - Our family business is home to three iconic Yorkshire brands - Yorkshire Tea, Bettys and Taylors of Harrogate.
Are you ready to transform data into a strategic asset for a global brand? Bettys & Taylors Group is seeking two experienced Fabric Data Engineers to join our growing Data & Analytics function on 18-month fixed-term contracts.
These are full-time roles working 37.5 hours per week. The role will offer hybrid-working based at our Pagoda House office in Harrogate (HG2 7DL). Please note that this role requires a regular on-site presence so fully remote applicants will not be considered.
The Role
As a Data Engineer, you will design, build and maintain robust, scalable and secure data pipelines and models that turn raw data into trusted, reusable data products. You’ll work closely with business and technical stakeholders to ensure high-quality, governed data assets are available for decision-making, advanced analytics, and Power BI reporting.
Key Responsibilities
- Design, develop and maintain scalable data pipelines using Microsoft Fabric and related technologies.
- Transform and curate data from multiple sources into structured, governed datasets.
- Optimise data pipeline performance and adhere to engineering standards such as CI/CD and version control.
- Collaborate on enterprise data models, Power BI solutions, and provision data for analytics and machine learning.
- Ensure data quality, compliance with governance standards, and support ITIL processes.
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What You Bring
You are an experienced data professional who enjoys combining strong engineering skills with collaboration and problem-solving. You’ll bring:
- Proven experience designing and building data pipelines and ETL/ELT processes using Microsoft Fabric or comparable cloud data platforms
- Strong technical skills in SQL, DAX, M (Power Query), KQL and Python / PySpark for data engineering and analysis
- Experience with data modelling techniques (e.g. star schema, dimensional modelling) and data warehousing concepts
- Hands-on experience with Power BI, including dataset creation, semantic modelling, performance optimisation and building well-designed reports
- Familiarity with CI/CD practices, version control (e.g. Git) and DevOps approaches for data engineering
- Understanding of data governance, quality management, security and privacy, including GDPR and ISO27001 considerations
- Excellent communication skills, with the ability to work confidently across technical and non-technical teams
- A willingness to coach, mentor and upskill others, and a strong commitment to continuous learning
What We Offer You
As a minimum, all our employees receive free meals, drinks and snacks while at work, a discretionary quarterly profit-share bonus, holiday allowance with the option to buy and (in some cases) sell additional days, company-wide employee discounts, access to our health cash plan, wellbeing support, company funded counselling, and enrolment in the company pension.
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We also offer a range of development opportunities no matter your role and ambitions. We encourage everyone to explore what makes them the best version of themselves, and we do this through external training programmes, apprenticeships and internal 1:1 coaching schemes.
Great People, Great Culture
We are Bettys & Taylors Group. Our family business is home to three iconic Yorkshire brands - Yorkshire Tea, Bettys and Taylors of Harrogate. Together we share a passion for quality, service and doing things properly. We are driven by our purpose and our values, and we believe our people are what set us apart. We welcome applications from all cultures, backgrounds, and experiences and we are committed to offering an inclusive culture where everyone can thrive.
Click here to learn more about life at Bettys & Taylors Group. To apply for this role you will be required to submit a CV and cover letter.
The closing date for this vacancy is 20th July 2026. To ensure we find the right candidate, we may close this advert early if we receive a high volume of applications. Don’t miss your chance—apply today!
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