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

Apply Now

Head Of Data Engineering

Redefined Ltd
London
9 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science Data Analytics Business Intelligence · London ·

Head of Data Science

Head of Applied Research Methods (Data Science, Quantitative Research or Trials), A Healthy Life

Data Scientist

Junior Data Scientist

Staff Data Scientist

Head of Data Engineering

Commercial Technology & Change

Permanent

White City, London

Hiring range: £130,000

Your work matters to millions.

Shaping culture is in the DNA of ITV. So, it's not surprising that you'll find us in every home in the UK, our productions are famous all over the world and we're at the forefront of the digital streaming revolution.

When you join us, you enter a fun working environment. With opportunities to learn, to grow and make a real difference. Small enough that your impact's felt in the business, but big enough that your impact reaches millions of people.

Come develop your skills, change TV and the course of your career. Don't just watch it. Be part of it. Join ITV.

Your impact sends ripples.

This is a senior role within the Commercial Technology and Change engineering team, responsible for shaping and building our data architecture and data engineering competencies across our delivery teams.

As a Head Of Data Engineering you will be known as a technical authority and champion of data engineering delivery. You will identify, define and nurture the how and the what with regards to our data engineering process. You will be striving to improve our general level of expertise and working culture, and be excited about helping people achieve their full potential. You will be expected to work with a high degree of independence and autonomy.

You are accountable and responsible for building and advancing our data engineering competency and introducing and maintaining an efficient delivery capability over the long term.

This is a leadership, people-oriented role and carries reporting line duties for a team of data engineers. In addition, and where required, you will define, own and execute supplier management and cost management processes. This includes introducing and running ITV's centralised finOps model across CT&C's data centric pillars, namely Telligence Insights & AS&I.

A key aspect of this role is to define and communicate a clear CT&C data engineering vision and the ability to articulate this vision to others - set direction and establish goals that align with the CT&C's mission and objectives.

Key Responsibilities:

Capability Development

  • Build a diverse, supportive, excellence-focused data engineering discipline
  • Manage the capacity, recruitment, and development of our data engineering capability
  • Expand our general awareness and understanding of related emerging technologies and best practices

Technical Direction and Delivery

  • Own and deliver our data engineering strategy and vision
  • Oversee the data aspects of feature designs and align those with our data strategy, data architecture and best practices in terms of completion, resilience, flexibility over time and operability
  • Define and own the data related governance processes
  • Establish an overall culture and ways of working

Personal Qualities:

  • T-shaped orientation:articulate in the concepts, language and approaches of product design, quality assurance, service management, support, change management and customer success, and highly motivated by collaboration with peers to align ways of working
  • Progressive technology outlook:maintaining a deep understanding of ITV's marketplace dynamics and relating that to emerging data related technologies and working practices
  • Alignment approach:maintain an inclusive approach to key tech choices, building alignment and propagating best practice within the engineering function. Strong emphasis on building shared principles/values/approaches to embed capability
  • Collaboration:good influencing & people skills to build shared understanding and buy-in to new ideas and change effectively
  • Balance of outcome and process focus:thrives in an organised and process driven environment, but ready to adapt and evolve this to pragmatically deliver outcomes and results
  • Agile mindset:Sharp focus on developing hypotheses and accelerating the path the user-centred learning to prove and evolve these
  • Persistence and resilience:Within ITV it's particularly important as we work in a matrix set up, and to achieve your desired outcomes you have to sustain a clear commitment to our goals, principles and ways of working to overcome a range of challenges

Qualifications and Skills

  • Strong leadership skills, including the ability to create and maintain a positive culture and drive results through others
  • Can demonstrate responsibility for leading a data engineering, or data science, function at a similar scale using agile and hybrid development approaches
  • Experience with data pipeline and workflow management tools, for example: Azkaban, Luigi, Airflow, etc
  • Technical expertise in the areas of distributed computing tools such as Hadoop as well as experience working with big data technologies such as GCP BigQuery, Data Bricks, Kafka, Cassandra, Presto etc
  • Historically strong programming/scripting skills in languages such as Python and SQL. In addition, deep understanding of relational and non-relational databases systems such as SQL, Redshift, PostgreSQL or Cassandra

Other things we're looking for (key criteria)

  • Knowledge of the UK broadcast industry & broadcast/OTT advertising market
  • Knowledge of digital marketing and advertising industry
  • Familiar with data design techniques for classification and regression as well as knowledge of A/B testing, experimental design, and general statistical modelling
  • Familiarity with architecture disciplines such as Data Mesh Architecture, Data Architecture, BI Architecture and Enterprise Architecture
  • Good understanding of data governance, data privacy, and security principles.
  • Knowledge of tools across other data management capabilities - data engineering, data governance, data quality, metadata management and master data management
  • Knowledge of designing and building out data visualisation solutions based on technology such as: Tableau, AWS QuickSight, Looker, ThoughtSpot

ITV is for everyone.

ITV strongly encourages applications for this role from disabled people. As a Disability Confident Leader, if you meet the minimum criteria for a role and you have declared that you are disabled, we'll guarantee to take you to the next stage.

We're happy to discuss any support/personalisation you may need during our application and selection process as part of our reasonable adjustments. Drop us a line if you require anything at .

Closing date: Wednesday 5th February 2025

#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.

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.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.