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Mid-level data engineer - finance

Halifax
Gloss Creative Recruitment
Data engineer
Posted: 16 June
Offer description

The Opportunity



We’re working with an established and highly innovative organisation based in Halifax that’s going through an exciting digital transformation. They’re looking for a talented Mid-Level Data Engineer to join their growing tech team and help modernise the business’s data infrastructure. It’s a great opportunity for someone who thrives on turning complex, legacy data into clean, scalable systems with a forward-thinking mindset.



This is a hybrid role (2–3 days in the office), with flexibility following probation, and the opportunity to work on projects at the cutting edge of data and AI within a supportive, collaborative environment.



The Role



This isn’t just another pipeline job — you’ll be at the heart of a strategic shift. You’ll be tasked with designing and maintaining robust, scalable frameworks that allow the business to unify its legacy systems with a newly built modern data platform. Your work will directly support AI-driven decision-making and unlock the potential of data across the entire organisation.



What You’ll Be Doing



• Designing and maintaining scalable data pipelines and frameworks

• Collaborating with Business Analysts and AI Engineers to develop smart reporting and automation

• Cleaning, transforming and organising raw data into business-ready insights

• Enabling smooth, accessible data visibility for operational and analytical users

• Supporting the CTO in shaping data strategy and identifying areas for optimisation

• Contributing to the ongoing evolution of the company’s tech stack and architecture



What We’re Looking For



Must Haves:



· 2–4 years’ experience in a similar Data Engineering role

· Excellent SQL and relational database knowledge

· Strong understanding of data modelling and ETL/ELT processes

· Familiarity with legacy systems (ideally Progress DB or similar)

· Python skills for scripting and automation

· A collaborative attitude with strong problem-solving skills



Nice to Have:



· Experience with hybrid cloud/on-prem environments

· Understanding of AI/ML use cases

· PHP knowledge (for interacting with existing systems)

· Exposure to data orchestration tools like Airflow or dbt



Hybrid Working & Culture



· 2–3 days a week in-office (Halifax), remote flexibility post-probation

· Collaborative open-plan workspace and down-to-earth tech team

· Choose your setup – Mac, Windows, Linux

· Pension plan and competitive salary

· Regular team socials, events and twice-weekly office breakfast

· Opportunities for European travel and industry event attendance



About the Company



Our client is a purpose-led business using technology to challenge traditional industries. With a strong ethical compass and a tech-first approach, they’re committed to changing perceptions and delivering services that make a genuine difference to people's lives. This is a company where innovation is championed, collaboration is key, and your ideas will have real impact.



Interested?



We’re working directly with the hiring team, so if you’re curious about where this role could take you, let’s have a chat. Apply now or get in touch for a confidential discussion.



Keywords: AI & Data Jobs, Analytics Jobs, Machine Learning (ML), Business Intelligence, Data Insights, Tech Transformation, Digital Infrastructure, Halifax Jobs, West Yorkshire Tech Jobs, Hybrid Working, Flexible Working, Remote Tech Jobs UK.



Commutable from: Leeds, Wakefield, Dewsbury, Sheffield, Barnsley, Halifax, Bradford, Elland, Huddersfield, West Yorkshire.



Important information before applying for the role:



By applying for this role, you authorise us to add your details to our secure ATS system so that we can contact you via email / phone to provide more information about this / similar roles and industry news.



Please see our Privacy Policy on the Gloss Creative Recruitment Website for more information on how your data is stored and how to unsubscribe from our services at any time.

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