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

Nominate & Attend

Data Engineering Manager

TalentHawk
Bristol
3 days ago
Create job alert

We are seeking aData Engineering Managerwith a strong technical foundation, proven experience leading data engineering teams, and expertise in AWS platforms. This role demands a combination of operational management and strategic vision to drive the success of our data platforms and align with organizational goals.


Responsibilities

1. People Management

  • Team Building & Coaching:
  • Foster a high-performing data engineering team through coaching, mentoring, and professional growth opportunities.
  • Develop a leadership culture within the team, ensuring engagement and motivation.
  • Stakeholder Engagement:
  • Act as a visible advocate for data practices across teams.
  • Confidently represent the data team and step in for senior leadership as needed.


2. Technical Leadership

  • AWS Expertise:
  • Hands-on experience with AWS services, scalable data solutions, and pipeline design.
  • Strong coding skills inPython,SQL, andpySpark.
  • Optimize data platforms and enhance operational efficiency through innovative solutions.
  • Nice to Have:
  • Background in software delivery, with a solid grasp of CI/CD pipelines and DataOps methodologies.
  • Exposure to ML/AI implementations.


3. Process & Delivery Management

  • Operational Excellence:
  • Manage delivery timelines, performance metrics, and team operations effectively.
  • Support technology upgrades, evaluate new tools, and adopt emerging trends.
  • Strategic Vision:
  • Shape the data engineering roadmap and transform vision into actionable outcomes.
  • Collaborate across teams to ensure the data work delivers tangible business value.


4. Leadership Style

  • Attributes:
  • Trustworthy, collaborative, and detail-oriented.
  • Strong decision-making skills and a people-first approach.
  • Positive mindset with a commitment to continuous learning.


Key Qualifications

  • Proven experience in a technical leadership role within data engineering.
  • Strong technical fluency and a problem-solving mindset.
  • In-depth knowledge of AWS services and their practical implementation.
  • Excellent communication and stakeholder management skills.
  • Experience with performance metrics, delivery management, and team operations.

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

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 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.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.