Senior Data Engineer

Halifax
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

We are looking for a highly skilled Senior Data Engineer to lead the design and build of our new enterprise data platform using Microsoft Fabric. This is a hands-on role focused on creating a scalable, secure and future-ready data warehouse to enable robust analytics, self-service reporting and data-driven decision making across the organisation.

Client Details

Founded in 2015, we are a UK-based, technology-driven provider of end-to-end accident management services, focusing on swift, high-quality vehicle repairs and claims management for fleets and insurers.

Our mission is to get drivers and policyholders back on the road quickly and safely after an incident, supporting them through every step of the claims and repair journey, while controlling costs and repair quality.

Together, our group businesses form a fully-connected, data-driven claims & repair ecosystem, delivering everything from incident reporting, to engineering, vehicle repair, parts supply, connected technologies, and specialist claims management.

Description

The Senior Data Engineer will be responsible for but not limited to:

Lead the design, architecture and build of a new enterprise data warehouse on Microsoft Fabric.
Develop robust data pipelines, orchestration processes and monitoring frameworks using Fabric components (Data Factory, Data Engineering, Lakehouse).
Create scalable and high-quality data models to support analytics, Power BI reporting and self-service data consumption.
Establish and enforce data governance, documentation and best practices across the data ecosystem.
Collaborate with cross-functional teams to understand data needs and translate them into technical solutions.
Provide technical leadership, mentoring and guidance to junior team members where required.

Profile

The successful Senior Data Engineer will be able to demonstrate:

Skills as a Senior Data Engineer, BI/Data Warehouse Engineer, or similar.
Strong hands-on knowledge of Microsoft Fabric and related services.
End-to-end DWH development knowledge, from ingestion to modelling and consumption.
Strong background in data modelling, including star schema, dimensional modelling and semantic modelling.
Ability to orchestrate, monitoring and optimise data pipelines.
Proficiency in SQL and strong understanding of database principles.
Ability to design scalable data architectures aligned to business needs.Desirable:

Previously worked with Databricks, Azure Synapse, Azure Data Lake, or equivalent cloud platforms.
Knowledge of data governance and security frameworks.
Exposure to DevOps/DataOps practices (e.g., CI/CD, environments, testing).
Previously building and supporting self-serve analytics programmes.

Job Offer

In addition to the role being remote with limited requirements to go into the Halifax head office we also offer:

A competitive salary ranging from £50,000 to £60,000 per annum.
Permanent position with opportunities for career growth.
Inclusive and supportive company.
Comprehensive benefits package (details to be confirmed).This is an exciting opportunity for a Data Engineer / Senior Data Engineer to come and help us shape our cloud and Analytics platform moving forward. Apply now to take the next step in your career as a Senior Data Engineer

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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.

What Hiring Managers Look for First in Data Engineering Job Applications (UK Guide)

If you’re applying for data engineering jobs in the UK, the first thing to understand is this: Hiring managers don’t read every word of your CV. They scan it. They look for signals of relevance, credibility, delivery and collaboration — and if they don’t see the right signals quickly, your application may never get a second look. In data engineering, hiring managers are especially focused on whether you can build and operate reliable, scalable data systems, handle real-world data challenges and work effectively with analytics, BI, data science and engineering teams. This guide breaks down exactly what they look at first in your application — and how to shape your CV, portfolio and cover letter so you stand out.