Senior Data Engineer

Harnham
Bristol
7 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer (AWS, Airflow, Python)

Senior Data Engineer (Microsoft Fabric)

Senior Data Engineer - (Python & SQL)

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.

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.

Jobs

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

Careers Jobs

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.

Education

The Skills Gap in Machine Learning Jobs: What Universities Aren’t Teaching

Machine learning has moved from academic research into the core of modern business. From recommendation engines and fraud detection to medical imaging, autonomous systems and language models, machine learning now underpins many of the UK’s most critical technologies. Universities have responded quickly. Machine learning modules are now standard in computer science degrees, specialist MSc programmes have proliferated, and online courses promise to fast-track careers in the field. And yet, despite this growth in education, UK employers consistently report the same problem: Many candidates with machine learning qualifications are not job-ready. Roles remain open for months. Interview processes filter out large numbers of applicants. Graduates with strong theoretical knowledge struggle when faced with practical tasks. The issue is not intelligence or effort. It is a persistent skills gap between university-level machine learning education and real-world machine learning jobs. This article explores that gap in depth: what universities teach well, what they routinely miss, why the gap exists, what employers actually want, and how jobseekers can bridge the divide to build successful careers in machine learning.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.