Senior Data Engineer/ BI Developer

Harnham
Accrington, BB5 1ES, United Kingdom
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer - AI Workbench

PhysicsX London, United Kingdom

Specialist Solutions Architect - DE/DWH

Databricks London, United Kingdom

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Fullstack Engineer - Data Enrichment

Wayve London, United Kingdom
Posted
11 Feb 2026 (3 months ago)
Recruitment Consultant - Engineering & Governance (North and Midlands) at Harnham

Location: Accrington - hybrid


My client is seeking a talented Senior Data Engineer to join a growing data function and play a key role in modernising data platforms, driving best practices, and mentoring junior colleagues. This role is ideal for someone who can hit the ground running, take ownership of key projects, and contribute to a collaborative and business-facing team.


You’ll work across a modern data stack centred on Snowflake, SQL, Python, and DBT, while also contributing to cloud-based ingestion pipelines and regulatory reporting initiatives.


What You’ll Be Doing

  • Leading data engineering projects and acting as a senior point of contact within the team.
  • Working closely with business SMEs and stakeholders to understand requirements and influence decisions.
  • Designing and building scalable ingestion pipelines into Snowflake.
  • Mentoring junior engineers and supporting team development.
  • Working with tools such as Jira, Azure DevOps, AWS S3 (for file storage), and DBT (nice to have).
  • Strong SQL and Python skills.
  • Solid experience with Snowflake.
  • 3+ years in Data Engineering, including at least 1 year in a senior or lead capacity.
  • Experience leading projects and communicating with senior stakeholders.
  • Strong soft skills and the ability to contribute to senior-level discussions.

Nice to Have

  • Fundamental understanding of DBT.
  • Experience with AWS (especially S3), Azure DevOps, Jira.
  • Experience with data governance and regulatory reporting.

Seniority Level

Mid-Senior level


Employment Type

Full-time


Industry

Retail


#J-18808-Ljbffr

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.

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.

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.

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.