Head of Data Engineering

NTT DATA
London
2 days ago
Create job alert

We are seeking an experienced and visionary Head of Data Engineering to lead our dynamic Data Engineering Team. The successful candidate will oversee a team of approximately 40 Data Engineers, ensuring the delivery of high-quality data solutions and driving the strategic direction of our Data Engineering efforts.Key Responsibilities:* Lead and manage a team of 40 Data Engineers, providing mentorship, guidance, and career development.* Develop and implement data engineering strategies that align with the company’s goals and objectives.* Oversee the design, development, and maintenance of scalable data pipelines and architectures.* Collaborate with cross-functional teams, including data scientists, analysts, and IT, to ensure seamless data integration and utilization.* Ensure data quality, integrity, and security across all data engineering projects.* Lead presales activities, including client presentations, proposal development, and solution demonstrations.* Stay up-to-date with the latest industry trends and technologies to drive innovation within the team.* Manage project timelines, budgets, and resources effectively.* Foster a culture of continuous improvement and operational excellence within the data engineering team.What youll be doing:What experience youll bring:Skills and Experience Required:* Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.* 10+ years of experience in data engineering or a related field, with at least 5 years in a leadership role.* Proven experience in managing large teams and complex data engineering projects.* Strong knowledge of data architecture, data modeling, and ETL/ELT processes.* Proficiency in programming languages such as Python, Java, or Scala.* Experience with big data technologies such as Hadoop, Spark, and Kafka.* Familiarity with cloud platforms like AWS, Azure, or Google Cloud.* Excellent problem-solving skills and the ability to think strategically.* Strong communication and interpersonal skills, with the ability to collaborate effectively with stakeholders at all levels.* Experience with Agile methodologies and project management tools.Who we are:NTT DATA UK&I is a leading global IT services provider, delivering innovative technology solutions to clients across various industries. As a part of the NTT DATA Group, we are committed to driving digital transformation and helping our clients navigate the complexities of the modern business landscape. With a focus on excellence, collaboration, and customer-centricity, we strive to create meaningful and sustainable impact through cutting-edge technology solutions.what well offer you:Join NTT DATA UK&I and be a key player in driving digital transformation across various industries. As the Head of Consulting, you will have the opportunity to lead a dynamic team of consultants, shape innovative solutions, and contribute to the success of our clients and the broader community. If you are passionate about making a positive impact through technology and possess the leadership skills to drive change, we invite you to be a part of our journey towards a digitally empowered future. Apply now and be a catalyst for transformation at NTT DATA UK&I.LocationEpworth House, London “Upon joining the NTT DATA UK family, you will experience a culturally diverse organisation living our values of Clients First, Teamwork and Foresight as we partner with our customers every day. At NTT DATA UK, we are proud to support and invest in our people. We offer a variety of rewarding career paths and opportunities to develop professionally - with access to cutting edge innovation.”Fernando Apezteguia, CEO, NTT DATA UK

J-18808-Ljbffr

Related Jobs

View all jobs

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering

Head of Data Engineering (Tech4Good) | £90,000 - £110,000 + Bonus |

Head of Data Engineering (Azure) - £90,000 - £100,000 |

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.

Data Science Leadership for Managers: Strategies to Motivate, Mentor, and Set Realistic Goals in Data-Driven Teams

Data science has become a linchpin in modern business, transforming oceans of raw data into actionable insights that guide strategy, product development, and personalised customer experiences. With this surge in data-centric operations, the need for effective data science leadership has never been more critical. Guiding a team of data scientists, analysts, and machine learning engineers requires not only technical acumen but also the ability to foster collaboration, champion ethical practices, and align complex modelling efforts with overarching business goals. This article provides practical guidance for managers and aspiring leaders aiming to excel in data-driven environments. By exploring strategies to motivate data science professionals, develop mentoring frameworks, and set achievable milestones, you will be better prepared to steer your team towards meaningful, evidence-based outcomes.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.