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

Apply Now

Lead Data Engineer...

DEPT®
Manchester
1 day ago
Create job alert

Job Description

Reporting to: Head of Data/AI

Location: London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, Split, hybrid

DEPT®/DATA

DEPT®/AI has a single mission: to make the best work in the industry using Data & AI to enhance everything we do. This role sits within our Data & AI practice, which has deep expertise in leveraging AI. The team includes data strategists, consultants, data scientists and analysts that work alongside DEPT® teams around the world across different services – from commerce, to full-funnel media, content engineering to internal operations. You will be solving some of the hardest and most challenging problems facing some of the best loved brands in the world – and doing this alongside an experienced team.

This role is part of our EMEA Data craft team, an integrated craft across Europe driving data engineering, data science, and AI initiatives. We combine our expertise in data architecture, analytics, and AI to deliver exceptional data-driven solutions that build lasting relationships with our clients like Footlocker, Nikon, Rituals, and Philips

Role Overview

The Lead Data Engineer is responsible for building and leading our data engineering capabilities across EMEA and setting technical standards. This senior technical leadership role will drive the strategic vision for our data engineering practice, deliver complex client solutions, and grow the data engineering team to support our expanding client base. You will collaborate with cross-functional teams to create scalable, efficient data architectures that power our AI and data analytics solutions.

This role requires a technically excellent, strategic thinker with proven experience in leading data engineering teams and implementing enterprise-scale data solutions.

Job Purpose

As part of the EMEA Data craft team, you will be responsible for shaping and executing our data engineering strategy, delivering technical excellence on complex client projects, and building a high-performing team of data engineers.

To be successful in this role, you must combine deep technical expertise with strong business acumen and leadership skills. You'll work closely with clients to understand their business challenges and translate these into robust data engineering solutions. You'll guide technical decision-making, establish best practices, and ensure our data engineering capabilities remain at the cutting edge of industry standards.

An entrepreneurial spirit with a bias for action, excellent communication skills, and the ability to bridge the gap between technical solutions and business stakeholders is essential to succeed in this role.

Key Responsibilities

  • Lead the strategic development of our data engineering proposition and capabilities
  • Set technical standards and best practices for data engineering across EMEA
  • Guide and mentor data engineers, fostering a culture of technical excellence and innovation
  • Design and implement scalable, reliable data architectures and pipelines for enterprise clients
  • Serve as the technical authority on client engagements, providing expert guidance
  • Build and grow a high-performing data engineering team
  • Work closely with the broader Data & AI practice to deliver integrated solutions
  • Support business development efforts through technical expertise in client pitches
  • Stay ahead of emerging technologies and methodologies in the data engineering space

    What We Are Looking For

  • Extensive experience in data engineering with a proven track record of leading complex data initiatives
  • Strong technical leadership experience, with the ability to guide and develop engineering teams
  • Deep expertise in designing and implementing data architectures, data pipelines, and ETL processes
  • Hands-on experience with cloud platforms (GCP, AWS, Azure) and their data-specific services
  • Proficiency in Python, SQL, and data orchestration tools (e.g., Airflow, DBT)
  • Experience with modern data warehouse technologies (BigQuery, Snowflake, Redshift, etc.)
  • Strong understanding of data modeling, data governance, and data quality principles
  • Excellent communication skills with the ability to translate complex technical concepts for business stakeholders
  • Strategic thinking with the ability to develop and execute technical roadmaps
  • Experience working in an agency or consulting environment is highly advantageous
  • Proven ability to mentor and develop technical talent
  • Master's degree in Computer Science, Engineering, or related field (or equivalent experience)

    WE OFFER

  • A reputation for doing good. DEPT® has been a Certified B Corp® since 2021 and named ‘Agency of the Year’ at both The Lovies and The Webby Awards.
  • Awesome clients. Whether big or small, local or global — at DEPT® you’ll get the opportunity to work with clients of all sizes and across all industries. And we celebrate all of our successes together!
  • The opportunity for possibility. We want to enable you to do what you do best and help you develop your skills further with training, development and certifications.
  • Global annual DEPT® Cares Month in which employees come together and donate their skills to support local charities
  • Additionally; each office has its long list of local benefits, you can find out more about those in a talk with our recruiter

    WHO ARE WE?

    We are pioneers at heart. What does that mean? We are always looking forward, thinking of what we can create tomorrow that does not exist today. We were born digital and we are a new model of agency, with a deep skillset in tech and marketing. That’s why we hire curious, self-driven, talented people who never stop innovating.

    Our culture is big enough to cope and small enough to care. Meaning, that with people across 30+ countries, we’re big enough to provide you with the best tools, global opportunities, and benefits that help you thrive. While acting small by investing in you, your growth, your team, and giving you the autonomy to solve our clients problems, no matter where you are in the world.

    DIVERSITY, EQUITY & INCLUSION

    At DEPT®, we take pride in creating an inclusive workplace where everyone has an equal opportunity to thrive. We actively seek to recruit, develop, nurture, and retain talented individuals from diverse backgrounds, with varying skills and perspectives.

    Not sure you meet all qualifications? Apply, and let us decide! Research shows that women and members of underrepresented groups tend not to apply for jobs when they think they may not meet every requirement, when in fact they do. We believe in giving everyone a fair chance to shine.

    We also encourage you to reach out to us and discuss any reasonable adjustments we can make to support you throughout the recruitment process and your time with us.

    Want to know more about our dedication to diversity, equity, and inclusion? Check out our efforts here.

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data engineer

Lead Data Engineer - Microsoft Fabric - Hybrid - £75k

Lead Data Engineer

Lead Data Engineer

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.