Data Engineer - 196331

Forsyth Barnes

Leeds, West Yorkshire, United Kingdom

Today

£50,000 – £55,000 pa

Salary

£50,000 – £55,000 pa

Job Type: Permanent
Work Location: Hybrid
Seniority: Mid
Education: Degree
Posted: 30 Apr 2026 (Today)

Save job

Create job alert

Salary

£50,000 – £55,000 pa

Job Type: Permanent
Work Location: Hybrid
Seniority: Mid
Education: Degree
Posted: 30 Apr 2026 (Today)

Save job

Create job alert

Job Title - Data Engineer - (phone number removed)

Location - Leeds - 2/3 days per week

We are looking for a Data Engineer to join a growing analytics and data team supporting a major transformation programme. This role will work closely with a Senior Data Engineer to design, build, and maintain scalable data pipelines and data warehouse solutions across a modern Microsoft-based data platform.

This is a hands-on engineering role focused on delivering reliable, well-structured data that supports reporting, analytics, and business decision-making.

Key Responsibilities

• Build and maintain ETL/ELT data pipelines using Microsoft data technologies

• Support the development of a structured data warehouse, contributing to bronze, silver, and gold layer models

• Work closely with the Senior Data Engineer to deliver scalable and well-governed data solutions

• Develop and optimise SQL-based transformations and data workflows

• Integrate data from multiple sources including internal systems, APIs, and external datasets

• Support implementation of data quality checks, validation rules, and monitoring processes

• Assist in delivering curated datasets used for Power BI and reporting solutions

• Contribute to documentation, testing, and code reviews

• Collaborate with analytics and business teams to understand data requirements

Required Skills & Experience

• Some experience in a data engineering, BI development, or similar data-focused role

• Strong SQL skills and understanding of relational databases

• Experience building or supporting data pipelines or ETL processes

• Exposure to Microsoft data technologies (e.g. Azure Data Factory, SQL Server, Synapse, or similar)

• Understanding of basic data modelling concepts (e.g. star schema, dimensional modelling)

• Familiarity with cloud data concepts (data lakes, warehouses, or similar environments)

• Ability to work collaboratively in a team environment under senior technical guidance

• Strong analytical and problem-solving skills with attention to detail

Nice to Have

• Exposure to Power BI or other BI tools

• Basic experience with Python or scripting for data processing

• Awareness of medallion architecture (bronze/silver/gold)

• Experience working with APIs or multiple data source types

• Understanding of data quality or governance principles

About You

• Enthusiastic, curious, and keen to grow as a data engineer

• Comfortable working under the guidance of a Senior Data Engineer while developing independence

• Detail-focused with a strong commitment to data accuracy and reliability

• Interested in building modern, scalable data solutions in a cloud environment

Team & Working Environment

• Small, collaborative data team with strong technical leadership

• Hybrid working (West Yorkshire, 2–3 days per week in office)

• Close working relationship with Senior Data Engineer and analytics stakeholders

• Clear opportunity for progression into a more senior engineering role over time

Related Jobs

View all jobs

Data Engineer

Noir Switzerland, United Kingdom

£87,291 – £113,478 pa Hybrid

Data Engineer

Lynx Recruitment London, United Kingdom

£40,000 – £85,000 pa On-site

Data Engineer

Gleeson Recruitment Group Birmingham, United Kingdom

£65,000 – £75,000 pa On-site

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom

£60,000 – £72,000 pa Hybrid

Data Engineer

hireful Exeter, United Kingdom

£50,000 – £55,000 pa Hybrid

Data Engineer

Robert Walters Manchester, United Kingdom

£55,000 – £60,000 pa Hybrid

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Apr 9, 2026

Products

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

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.

Feb 10, 2026

Careers

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.