Lead Data Engineer

Dept Agency
Manchester
1 month ago
Applications closed

Related Jobs

View all jobs

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer

Lead Data Engineer (AWS & Snowflake)

Senor / Lead Data Engineer

Senior Data Engineer - Azure, BI & Data Strategy

Lead Data Engineer

Reporting to: Head of Data/AI

Location: London, Manchester, 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 flexible, hybrid working policy (2 days from the office, depending on location).
  • An excellent salary based on experience and equal pay policies
  • Pension, free private healthcare, mental health support, and company sick pay scheme.
  • 26 days paid holiday (plus UK Bank Holidays).
  • Help getting you to work with a season ticket loan and cycle to work scheme.
  • Enhanced family friendly policies to support new parents.
  • Social and Cultural Events, plenty of opportunities to connect with colleagues through organised activities and celebrations.
  • Inspirational Talks, bringing the outside in with regular guest speakers and events.
  • Learning and Development, supporting your growth with continuous opportunities to learn and advance.
  • Buddy Programme: You will be paired with a ‘Buddy’ to help you through your first weeks’ at DEPT.
  • 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.

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, and your team, and giving you the autonomy to solve our client's problems, no matter where you are in the world.

DEPT is committed to making a positive impact on the planet and since 2021 has been Climate Neutral and B Corporation certified.

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.


#J-18808-Ljbffr

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.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.