Head of Data Engineering
Head of Data Engineering

Head of Data Engineering

Nottingham Full-Time 43200 - 72000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead a team to develop a cutting-edge data platform and drive impactful data products.
  • Company: Join an innovative client at the forefront of data-driven solutions.
  • Benefits: Enjoy a competitive salary, flexible working, and great perks like gym memberships.
  • Why this job: Shape the future of data while leading exciting AI and machine learning projects.
  • Qualifications: 10+ years in data engineering with strong leadership and Azure expertise required.
  • Other info: Weekly travel to Stratford Upon Avon and quarterly trips to Europe are part of the role.

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

Are you a visionary leader with a passion for data? Join our innovative client as the Head of Data Engineering, where you'll drive their data platform strategy, mentor top-tier engineering talent, and shape the future of their data-driven products.

What you'll do:

  • Lead and develop a team of Tech Leads and engineering squads.
  • Define and implement a robust data platform using Azure Cloud technologies.
  • Collaborate with cross-functional teams to deliver high-impact, data-centric products.
  • Ensure data integrity, security, and governance across the organization.

What they're looking for:

  • 10+ years in data engineering, with 4+ years in senior leadership.
  • Proven experience with Azure services (Data Factory, Synapse, Data Lake, SQL Database).
  • Strong leadership, communication, and stakeholder management skills.
  • Solid understanding of data architecture, modeling, and distributed systems.

Why join?

  • Be part of a dynamic, innovative, and collaborative team.
  • Lead exciting projects that leverage AI and machine learning.
  • Drive impactful change in a fast-paced, growth-oriented environment.

Benefits & Rewards

  • Competitive salary + car allowance and bonus.
  • Flexible hybrid working model.
  • Pension scheme up to 8% employer contribution.
  • Access to various other benefits including insurance, cycle to work scheme & subsidised gym membership.

This role will require you to travel to Stratford Upon Avon once per week, and Europe once per quarter.

Head of Data Engineering employer: LinkedIn

Join a forward-thinking company that values innovation and collaboration, where as the Head of Data Engineering, you will lead a talented team in shaping cutting-edge data solutions. With a competitive salary, flexible hybrid working model, and a strong emphasis on employee growth through mentorship and exciting projects, this role offers a unique opportunity to make a significant impact in a dynamic environment. Located in Stratford Upon Avon, you'll enjoy a vibrant community while driving transformative change across the organisation.
LinkedIn

Contact Detail:

LinkedIn Recruiting Team

StudySmarter Expert Advice 🀫

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

✨Tip Number 1

Showcase your leadership experience by discussing specific projects where you led a team to success. Highlight how you mentored junior engineers and the impact it had on their development and the team's performance.

✨Tip Number 2

Familiarise yourself with Azure Cloud technologies, especially Data Factory, Synapse, and Data Lake. Consider preparing examples of how you've successfully implemented these services in previous roles to demonstrate your expertise.

✨Tip Number 3

Network with professionals in the data engineering field, particularly those who have experience with Azure. Engaging in conversations can provide insights into the role and may even lead to referrals within the company.

✨Tip Number 4

Prepare to discuss your approach to data governance and security. Be ready to share strategies you've employed to ensure data integrity in past projects, as this is crucial for the role.

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

Leadership Skills
Data Engineering Expertise
Azure Cloud Technologies
Data Architecture
Data Modelling
Distributed Systems Knowledge
Stakeholder Management
Communication Skills
Team Development
Data Governance
Data Integrity and Security
Cross-Functional Collaboration
Project Management
AI and Machine Learning Understanding

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your extensive experience in data engineering and leadership. Focus on your achievements with Azure services and any relevant projects that demonstrate your ability to lead teams and deliver data-centric products.

Craft a Compelling Cover Letter: In your cover letter, express your passion for data and leadership. Mention specific examples of how you've driven data platform strategies and mentored engineering talent. This is your chance to showcase your vision for the role.

Highlight Relevant Skills: Clearly outline your skills in data architecture, modeling, and distributed systems. Emphasise your strong communication and stakeholder management abilities, as these are crucial for the Head of Data Engineering position.

Showcase Your Leadership Experience: Detail your previous leadership roles and the impact you've made in those positions. Include metrics or outcomes that demonstrate your success in leading teams and delivering high-impact projects.

How to prepare for a job interview at LinkedIn

✨Showcase Your Leadership Experience

As a candidate for the Head of Data Engineering, it's crucial to highlight your leadership experience. Prepare specific examples of how you've successfully led teams, mentored talent, and driven projects to completion, especially in data engineering.

✨Demonstrate Technical Proficiency

Familiarise yourself with Azure services relevant to the role, such as Data Factory, Synapse, and Data Lake. Be ready to discuss your hands-on experience with these technologies and how you've implemented them in past projects.

✨Prepare for Cross-Functional Collaboration Questions

Since collaboration is key in this role, think of instances where you've worked with cross-functional teams. Be prepared to discuss how you ensured effective communication and alignment on data-centric products.

✨Understand Data Governance and Security

Given the emphasis on data integrity and security, brush up on best practices in data governance. Be ready to explain how you've implemented these practices in previous roles to protect sensitive information.

Head of Data Engineering
LinkedIn
Location: Nottingham
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