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- Tasks: Lead and develop multiple 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.
- Other info: Work 3 days onsite in Manchester with excellent career growth opportunities.
- 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.
The predicted salary is between 130000 - 130000 £ per year.
Asset Management 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 - McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Head of Data Engineering employer: MCGREGOR BOYALL ASSOCIATES LIMITED
Contact Detail:
MCGREGOR BOYALL ASSOCIATES LIMITED 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 new role. You never know who might have the inside scoop on opportunities that aren't advertised yet.
✨Tip Number 2
Prepare for those interviews! Research the company and its data strategy thoroughly. Be ready to discuss how your leadership experience aligns with their goals, especially around building AI-ready platforms and driving data quality.
✨Tip Number 3
Showcase your achievements! When you get the chance to chat with potential employers, highlight specific projects where you've led teams to success. Use metrics to demonstrate your impact, especially in large, data-heavy environments.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of resources to help you land that dream job, and applying directly can sometimes give you an edge over other candidates. Let's get you into that Head of Data Engineering role!
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 ability to manage data engineering teams.
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 specific examples of how you've led teams and delivered large-scale data initiatives in the past.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise, especially in Python, AWS, and data architecture. We want to see how your skills align with our need for AI-ready, cloud-native data platforms.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at MCGREGOR BOYALL ASSOCIATES LIMITED
✨Know Your Data Engineering Inside Out
Make sure you brush up on your data engineering concepts, especially around ETL/ELT processes and cloud-native platforms. Be ready to discuss how you've led teams in these areas and the impact of your strategies on previous projects.
✨Showcase Your Leadership Skills
As this role is all about leading multiple teams, prepare examples that highlight your leadership style and how you've successfully scaled teams in the past. Think about specific challenges you faced and how you overcame them to drive team development.
✨Communicate with Confidence
Since stakeholder management is key, practice articulating your thoughts clearly and confidently. Prepare to discuss how you've partnered with senior stakeholders in previous roles and the outcomes of those collaborations.
✨Be Ready for Strategic Discussions
Expect questions around data architecture and governance. Familiarise yourself with the latest trends in AI and analytics strategy, and be prepared to share your vision for how you would approach these areas in the new role.