National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Data Engineer

Harnham
Bristol
2 weeks ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Azure - Leeds

Senior Data Engineer Consultant

Senior Data Engineer - Clayton-le-Moors

Senior Data Engineer - Clayton-le-Moors

Senior Data Engineer

DATA ENGINEER - DBT / AIRFLOW / DATABRICKS


4-MONTH CONTRACT


£450-550 PER DAY OUTSIDE IR35

This is an exciting opportunity for a Data Engineer to join a leading media organisation working at the forefront of data innovation. You'll play a key role in designing and building the data infrastructure that supports cutting-edge machine learning and LLM initiatives. Expect to work closely with data scientists, helping to power intelligent content and audience tools across the business.

THE COMPANY
A major player in the media sector, this company is investing heavily in its data capabilities to support everything from real-time analytics to AI-powered content discovery. The environment is collaborative, fast-moving, and focused on innovation. With strong engineering foundations already in place, they're looking for a contractor to accelerate delivery of critical pipelines and platform improvements.

THE ROLE
You'll join a skilled data team to lead the build and optimisation of scalable pipelines using DBT, Airflow, and Databricks. Working alongside data scientists and ML engineers, you'll support everything from raw ingestion to curated layers powering LLMs and advanced analytics.
Your responsibilities will include:

  • Building and maintaining production-grade ETL/ELT workflows with DBT and Airflow

  • Collaborating with AI/ML teams to support data readiness for experimentation and inference

  • Writing clean, modular SQL and Python code for use in Databricks

  • Contributing to architectural decisions around pipeline scalability and performance

  • Supporting the integration of diverse data sources into the platform

  • Ensuring data quality, observability, and cost-efficiency

KEY SKILLS AND REQUIREMENTS

  • Strong experience with DBT, Airflow, and Databricks

  • Advanced SQL and solid Python scripting skills

  • Solid understanding of modern data engineering best practices

  • Ability to work independently and communicate with technical and non-technical stakeholders

  • Experience in fast-paced, data-driven environments

DESIRABLE SKILLS

  • Exposure to LLM workflows or vector databases

  • Experience in the media, content, or publishing industries

  • Familiarity with cloud data platforms (e.g., AWS or Azure)

  • Knowledge of MLOps and ML/data science pipelines

HOW TO APPLY
To register your interest, please apply via the link or get in touch with your CV.

National AI Awards 2025

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.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.