Head of Data Engineering

Head of Data Engineering

London Full-Time 43200 - 72000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead a team of 40 Data Engineers to deliver innovative data solutions.
  • Company: Join a global business transforming the world through advanced consulting and technology services.
  • Benefits: Enjoy flexible work options, continuous learning opportunities, and a supportive environment for your well-being.
  • Why this job: Be part of a diverse culture that values collaboration, innovation, and social impact.
  • Qualifications: 10+ years in data engineering with leadership experience; strong programming and cloud skills required.
  • Other info: We are committed to diversity and inclusion, offering guaranteed interviews for applicants with disabilities.

The predicted salary is between 43200 - 72000 £ per year.

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 experience you’ll 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:

We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ+ & Allies Network, Neurodiversity Network and the Parent Network.

What we’ll offer you:

We offer a range of tailored benefits that support your physical, emotional, and financial wellbeing. Our Learning and Development team ensure that there are continuous growth and development opportunities for our people. We also offer the opportunity to have flexible work options.

We are an equal opportunities employer. We believe in the fair treatment of all our employees and commit to promoting equity and diversity in our employment practices. We are also a proud Disability Confident Committed Employer - we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and long-term health conditions which have an effect on their ability to do normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities. In line with our commitment, we guarantee an interview to applicants who declare to us, during the application process, that they have a disability and meet the minimum requirements for the role. If you require any reasonable adjustments during the recruitment process, please let us know. Join us in building a truly diverse and empowered team.

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Contact Detail:

Applicable Limited Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Head of Data Engineering

✨Tip Number 1

Make sure to showcase your leadership experience in data engineering. Highlight specific instances where you've successfully managed large teams and complex projects, as this role requires strong management skills.

✨Tip Number 2

Familiarise yourself with the latest trends in data engineering and big data technologies. Being able to discuss recent advancements or tools like Hadoop, Spark, and cloud platforms during interviews will demonstrate your commitment to staying current in the field.

✨Tip Number 3

Prepare to discuss your strategic vision for data engineering. Think about how you would align data strategies with company goals and be ready to share examples of how you've driven innovation in previous roles.

✨Tip Number 4

Network with professionals in the data engineering community. Engaging with others in the field can provide insights into the role and may even lead to referrals, increasing your chances of landing an interview with us.

We think you need these skills to ace Head of Data Engineering

Leadership Skills
Team Management
Data Engineering Strategy Development
Data Pipeline Design
Data Architecture
ETL/ELT Processes
Big Data Technologies (Hadoop, Spark, Kafka)
Cloud Platforms (AWS, Azure, Google Cloud)
Programming Proficiency (Python, Java, Scala)
Data Quality Assurance
Strategic Thinking
Excellent Communication Skills
Interpersonal Skills
Agile Methodologies
Project Management

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data engineering and leadership. Emphasise your management of large teams and complex projects, as well as your proficiency in programming languages and big data technologies.

Craft a Compelling Cover Letter: In your cover letter, express your vision for the role and how your experience aligns with the company's goals. Mention specific strategies you would implement to enhance the data engineering team and ensure data quality and security.

Showcase Leadership Skills: Provide examples of how you've mentored and developed team members in previous roles. Highlight your ability to foster a culture of continuous improvement and operational excellence within a team.

Highlight Collaboration Experience: Discuss your experience working with cross-functional teams, including data scientists and IT. Illustrate how you have successfully integrated data solutions across different departments to achieve business objectives.

How to prepare for a job interview at Applicable Limited

✨Showcase Your Leadership Skills

As a Head of Data Engineering, you'll be leading a large team. Be prepared to discuss your leadership style, how you mentor and develop your team, and share specific examples of how you've successfully managed teams in the past.

✨Demonstrate Technical Expertise

Make sure to highlight your technical skills, especially in data architecture, ETL processes, and big data technologies like Hadoop and Spark. Be ready to answer technical questions and possibly solve problems on the spot to showcase your proficiency.

✨Align with Company Goals

Research the company’s objectives and be ready to discuss how your vision for the data engineering team aligns with their goals. This shows that you understand their business and are committed to contributing to its success.

✨Prepare for Cross-Functional Collaboration

Since collaboration with other teams is key, think of examples where you've successfully worked with data scientists, analysts, or IT. Highlight your communication skills and how you ensure seamless integration across departments.

Head of Data Engineering
Applicable Limited
Location: London
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