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
7 months ago
Applications closed

Related Jobs

View all jobs

Lead Full-stack Data Scientist

Senior Machine Learning Engineer

Food Technology Teacher / Instructor

IT Teacher

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.