At a Glance
- Tasks: Lead a dynamic team of 40 Data Engineers and drive innovative data solutions.
- Company: Global tech company focused on empowering local teams and making a real-world impact.
- Benefits: Flexible work options, tailored benefits, and continuous learning opportunities.
- Why this job: Join us to shape the future of data engineering and collaborate on exciting projects.
- Qualifications: 10+ years in data engineering with leadership experience and strong technical skills.
- Other info: Inclusive culture with various networks supporting diversity and personal growth.
The predicted salary is between 54000 - 84000 ÂŁ 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 crossâfunctional 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 upâtoâdate 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.
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 problemâsolving 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, wellâbeing, growth, and agility, leading to a more diverse, innovative, and competitive organisation.
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 ensures 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 proud to be a Disability Confident, Committed Employer â we are committed to creating a diverse and inclusive workforce. We actively collaborate with individuals who have disabilities and longâterm health conditions which impact their ability to perform normal daily activities, ensuring that barriers are eliminated when it comes to employment opportunities.
Head of Data Engineering in London employer: NTT DATA
Contact Detail:
NTT DATA Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Head of Data Engineering in London
â¨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a great role or can put in a good word for you.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those that highlight your leadership and technical expertise. This will give potential employers a clear picture of what you can bring to the table.
â¨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios and challenges. Be ready to discuss how you've tackled similar issues in the past and how you can lead a team to success in this role.
â¨Tip Number 4
Don't forget to apply through our website! Itâs the best way to ensure your application gets noticed. Plus, it shows you're genuinely interested in joining our awesome team at NTT DATA.
We think you need these skills to ace Head of Data Engineering in London
Some tips for your application đŤĄ
Show Your Leadership Skills: As a Head of Data Engineering, we want to see your leadership style shine through in your application. Share examples of how you've managed teams and driven projects to success, highlighting your ability to mentor and develop talent.
Tailor Your Experience: Make sure to align your experience with the key responsibilities listed in the job description. Weâre looking for someone who can oversee data pipelines and collaborate with cross-functional teams, so be specific about your relevant skills and achievements.
Highlight Technical Proficiency: Donât forget to showcase your technical skills! Mention your experience with programming languages, big data technologies, and cloud platforms. We want to know how youâve used these tools to deliver high-quality data solutions.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. Itâs the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows youâre keen on joining our team!
How to prepare for a job interview at NTT DATA
â¨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around data architecture, ETL/ELT processes, and big data technologies like Hadoop and Spark. Be ready to discuss how you've applied these in past projects and how they can align with the company's goals.
â¨Showcase Your Leadership Skills
As a Head of Data Engineering, you'll need to demonstrate your ability to lead and mentor a large team. Prepare examples of how you've successfully managed teams, fostered collaboration, and driven career development for your team members.
â¨Prepare for Cross-Functional Collaboration
Since you'll be working with data scientists, analysts, and IT, think about how you've collaborated with different teams in the past. Be ready to share specific instances where your communication and interpersonal skills made a difference in project outcomes.
â¨Stay Current with Industry Trends
Research the latest trends and technologies in data engineering. Being able to discuss recent innovations and how they could benefit the company will show that you're not just experienced but also forward-thinking and ready to drive innovation within the team.