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- Tasks: Lead and develop data engineering teams to build AI-ready data platforms.
- Company: Global asset manager with a focus on innovation and analytics.
- Benefits: Competitive salary of £130k plus extensive package, with total compensation around £200k.
- Why this job: Shape the future of data engineering in a dynamic, strategic leadership role.
- Qualifications: Proven leadership in data engineering, strong AWS and Python skills required.
- Other info: Flexible working with 3 days onsite, excellent career growth opportunities.
The predicted salary is between 130000 - 130000 £ per year.
Location: Manchester
Working: 3 days onsite (Tues-Thurs)
Salary: £130k + extensive package (TC circa £200k)
The Role
Leading multiple teams of Data, DataOps & MLOps Engineers within a global asset manager's European Data & Analytics function. You'll own the data engineering strategy, driving the build of AI-ready, cloud-native data platforms that power analytics, data science and business decision-making across the UK & Europe. This is a senior leadership role with a focus on strategy, delivery and team development (no hands-on work expected).
Key Responsibilities
- Lead, scale and develop multiple data engineering teams
- Own and deliver large-scale data platform and pipeline initiatives (ETL/ELT)
- Define and implement data architecture aligned to AI and analytics strategy
- Partner with senior stakeholders across business and technology
- Drive data quality, governance and engineering best practices
- Oversee planning, prioritisation and execution of data projects
Key Requirements
- Proven leadership of multiple engineering teams
- Strong Data Engineering / DataOps background
- Experience in large, data-heavy environments
- Python / PySpark for end-to-end pipelines
- Strong AWS experience (design & deployment)
- Deep knowledge of data modelling, warehousing & lakehouse concepts
- Strong stakeholder management and communication skills
- Agile delivery experience
Get in touch for more details - ncarolan@mcgregor-boyall.com
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Head of Data Engineering employer: Mcgregor Recruitment.
Contact Detail:
Mcgregor Recruitment. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering
✨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 hunt for a Head of Data Engineering role. You never know who might have the inside scoop on an opportunity or can put in a good word for you.
✨Tip Number 2
Showcase your leadership skills! When you get the chance to chat with potential employers, highlight your experience in leading multiple teams and driving strategy. They want to see how you can scale and develop teams, so share specific examples of your past successes.
✨Tip Number 3
Prepare for those interviews! Brush up on your knowledge of data architecture, cloud-native platforms, and AI readiness. Be ready to discuss how you've implemented best practices in data quality and governance in previous roles.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can give you a better chance of landing that dream job. Plus, it shows your enthusiasm for joining our team!
We think you need these skills to ace Head of Data Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the key responsibilities and requirements from the job description. Highlight your leadership experience and any relevant projects that showcase your data engineering skills.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Head of Data Engineering role. Share your vision for data strategy and how you plan to lead teams effectively in a global asset management context.
Showcase Your Achievements: Quantify your past successes in data engineering and team leadership. Use metrics to demonstrate how you've driven data quality and governance in previous roles, as this will resonate with our focus on strategy and delivery.
Apply Through Our Website: We encourage you to apply directly through our website. This ensures your application is seen by the right people and gives you the best chance to stand out in the process!
How to prepare for a job interview at Mcgregor Recruitment.
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around ETL/ELT processes and cloud-native platforms. Brush up on your knowledge of AWS and be ready to discuss how you've implemented data architecture strategies in previous roles.
✨Showcase Your Leadership Skills
As this role is all about leading teams, prepare examples that highlight your leadership style and how you've successfully scaled and developed engineering teams. Think about specific challenges you've faced and how you overcame them while fostering a collaborative environment.
✨Engage with Stakeholders
Since stakeholder management is key, come prepared with examples of how you've partnered with senior stakeholders in the past. Be ready to discuss how you’ve communicated complex data strategies to non-technical audiences and ensured alignment across teams.
✨Demonstrate Strategic Thinking
This role requires a strategic mindset, so think about how you can articulate your vision for data engineering in a large organisation. Prepare to discuss how you would drive data quality and governance while aligning with the overall business strategy.