Data Engineer

Erin Associates

Orchard Square

2 weeks ago

Applications closed

Related Jobs

View all jobs

Data Engineer

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

£60,000 – £72,000 pa Hybrid

Data Engineer

Saffron housing Norwich, United Kingdom

£56,000 pa On-site

Data Engineer

Harnham - Data & Analytics Recruitment London, United Kingdom

£70,000 – £90,000 pa Hybrid

Data Engineer

Harnham - Data & Analytics Recruitment Manchester, United Kingdom

£70,000 – £90,000 pa Hybrid

Data Engineer

Sanderson Bristol, United Kingdom

£45,000 – £48,000 pa Permanent

Data Engineer

Relation Therapeutics London, United Kingdom

Permanent

Posted: 11 Apr 2026 (2 weeks ago)

Save job

Create job alert

Applications closed

Data Engineer – Remote (occasional visits to Yorkshire)

£55,000 - £60,000 + bonus, 35-hour work week and great benefits

Joining a well-established and highly skilled Data team, an experienced Data Engineer is required to help design and develop modern cloud solutions. To hit the ground running in this role, you will have proven experience designing, building and maintaining enterprise‑scale Data Lakes and Data Warehouses on Amazon Redshift.

As a Data Engineer, you will turn complex data into clarity, build scalable solutions, and help deliver insights that transform how the organisations client’s work. Utilising modern technologies, this role presents an exciting challenge to join a business that promote a healthy work-life balance and encourage professional development.

The role will be primarily remote, with occasional meetups with the team in Yorkshire.

Package:

Bonus opportunities

35-hour work week with flexible working

25 days holiday + 5 days buy/sell + bank holidays.

Professional development opportunities

5% employer pension, rising with service + many more.

Responsibilities:

Convert raw data into trusted analytical assets and bring insight to life through Power BI.

Build and maintain the Redshift‑based Enterprise Data Warehouse and S3 Data Lake.

Develop and optimise ELT/ETL pipelines across diverse data sources.

Develop Power BI datasets, dashboards, and reports.

Build strong semantic models using DAX and best‑practice design.

Work with stakeholders, analysts, and data scientists to deliver effective solutions.

Keep abreast of the latest tech and make recommendations that will benefit the department

Requirements:

3+ years’ experience in data engineering and data warehousing.

Amazon Redshift.

Data Lake architectures (S3, lakehouse patterns).

SQL and Power BI development experience.

DAX / Data Modelling

Familiarity with ELT/ETL tools.

Knowledge of data governance, security, and access control.

Scripting skills

Agile

The company have an excellent reputation within their sector, and have experienced 10 consecutive years of growth, posting record revenues for the last financial year. They promote a healthy work-life balance and will give you the opportunity to develop your technical knowledge.

Click APPLY to be considered for the role as my client is aiming to interview as soon as possible. All interviews are to be conducted virtually, with the process requiring two stages.

Erin Associates welcomes applications from people of all ethnicities, genders, sexual orientations, and disabilities. Please inform us if you require any reasonable adjustments at any stage of the application process.

Contact – Millie Ellis

Due to a high-volume of applications, if you have not heard back from us within 5 working days, please assume that your application has been unsuccessful on this occasion. Your profile may be considered for other suitable vacancies that arise within the next 12 weeks.

Key words; Data Engineer, Data Specialist, Data Developer. Leeds, Hull, York, Wakefield, Bradford, Manchester, Liverpool, Newcastle, Middlesbrough, Nottingham, Derby, Leicester, Sheffield, Stoke, Peterborough, Coventry, Birmingham, Lincoln, Preston, Cambridge, Oxford

Erin Associates Ltd is acting as an Employment Agency in relation to this vacancy

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 Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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 Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.