Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer - Machine Learning - Hybrid

Manchester
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer Data Science/Java/Python/Unix

Data Science Engineer

Data Scientist / Quant Engineer

Data/Machine Learning Ops Engineer

Lead Data Engineer (Data Science Team)

Senior Data Engineer (Data Science Team)

My client has been a pioneer in delivering data-driven insights to the media and market research industries for over a decade. Their platform provides unique and actionable data solutions to top brands and partners worldwide, empowering them to make informed, strategic decisions.

They are seeking an experienced Data Engineer to work closely with our Machine Learning and Product teams to ensure our data products are of the highest quality. The ideal candidate will have strong analytical skills, expertise in Python and SQL, and a passion for debugging and improving data processes. This role requires collaborative problem-solving, a keen attention to detail, and the ability to translate complex business requirements into robust data solutions.

The Role:

Your primary responsibilities will involve analysing and troubleshooting issues with data products and collaborating with both Product and ML teams to devise robust solutions. You will apply strong Python and SQL skills to ensure data accuracy, integrity, and scalability, while also engaging in continuous improvements to our data products.

You will tackle complex data challenges in a fast-paced, exciting environment, leveraging cutting-edge Big Data open-source technologies like Apache Spark, as well as Amazon Web Services (AWS) solutions such as Elastic MapReduce (EMR), Athena, and Lambda to develop innovative and scalable data solutions.

Key Responsibilities:

  • Continually review and measure the performance of data products and drive innovation and improvements

  • Become a subject matter expert for data products and supporting processes and be able to present to others to knowledge share.

  • Regularly reviewing colleagues’ work and providing helpful feedback.

  • Working with stakeholders to fully understand requirements and be a technical reference point for product team members on customer calls.

  • Writing application code and tests that conform to standards.

  • Adhering to Company Policies and Procedures with respect to Security, Quality and Health & Safety.

    About You:

    Here’s what we’re looking for:

  • SQL and Python development experience as a Data Engineer, preferably using AWS or equivalent cloud provider.

  • Analytical skills to be able to present decisions to stakeholders in a data driven way.

  • The ability to problem-solve and break down complex problems, whilst working on complex datasets.

  • Knowledge of agile software development best practices including continuous integration, automated testing and working with software engineering requirements and specifications.

  • Good interpersonal skills, positive attitude and willing to help other members of the team

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.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.