Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead Data & AI Engineering and ML Ops teams to drive innovation and strategy.
- Company: Join a leading UK retailer with ambitious growth plans for 2025.
- Benefits: Opportunity for hands-on leadership and influence in a dynamic environment.
- Why this job: Perfect for those looking to make an impact in data engineering and AI.
- Qualifications: Experience with Azure services and leading data engineering teams is essential.
- Other info: Shortlists will be created the week of January 6th, so apply soon!
The predicted salary is between 72000 - 108000 £ per year.
Our client is a leading retailer across the UK who are looking for an innovative and forward thinking Data & AI Engineering Manager. The role will be accountable for leading Data and AI Engineering and Machine Learning (ML) Ops teams for deliverables across UK & Ireland.
This an excellent chance to spearhead growth in the team and input your thoughts on strategy all whilst leading from a hands-on technical perspective also. With big plans for the function 2025, this is an excellent opportunity for Manager / Senior Engineer to take the next step.
Responsibilities:
- Develop and socialise Data, AI and ML Ops standards across data engineering and data science practices.
- Drive continuous improvement initiatives, leveraging feedback and performance metrics to enhance team effectiveness and project outcomes.
- Assist in the creation of solution designs for the approval by architecture, governance and security functions
- Leadership of the Data and AI Engineering teams and ML Ops capability based in the UK and overseas
- Increase the capability and standards of Engineering and ML Ops functions.
Skills we are looking for:
- Deep understanding of Azure services, including Azure Databricks, Azure Storage, Azure ML, Azure Data Factory and Azure Synapse Analytics
- Experience of leading data engineering teams / ML Ops functions and supporting Data Science teams.
- Knowledge of scripting languages for automation and orchestration
- Extensive experience with Databricks, including Spark SQL, Delta Lake, and Databricks clusters.
We are looking to provide shortlists for the role week commencing 6th January, so if the above sounds like it could be of interest, please apply with a CV or email !
Head of Data & AI Engineering employer: TCM Partners
Contact Detail:
TCM Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & AI Engineering
✨Tip Number 1
Make sure to showcase your leadership experience in data engineering and ML Ops. Highlight specific projects where you led teams to success, as this will resonate with the hiring managers looking for someone to spearhead growth.
✨Tip Number 2
Familiarize yourself with the latest Azure services and tools mentioned in the job description. Being able to discuss how you've utilized Azure Databricks, Azure ML, and other services in past roles will demonstrate your technical expertise.
✨Tip Number 3
Prepare to discuss your approach to continuous improvement initiatives. Think of examples where you've leveraged feedback and performance metrics to enhance team effectiveness, as this aligns with the responsibilities of the role.
✨Tip Number 4
Since the role involves creating solution designs, be ready to talk about your experience with architecture, governance, and security functions. This will show that you understand the broader context of data engineering and AI operations.
We think you need these skills to ace Head of Data & AI Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure services, data engineering, and ML Ops. Use specific examples that demonstrate your leadership skills and technical expertise in these areas.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI engineering. Discuss how your innovative ideas can contribute to the company's growth and how you plan to lead the team effectively.
Showcase Relevant Projects: Include details of relevant projects you've worked on, especially those involving Azure Databricks, Spark SQL, and automation scripting. This will help illustrate your hands-on technical capabilities.
Highlight Continuous Improvement Initiatives: Mention any past experiences where you drove continuous improvement initiatives. Use metrics or feedback to showcase how you enhanced team effectiveness and project outcomes.
How to prepare for a job interview at TCM Partners
✨Showcase Your Technical Expertise
Be prepared to discuss your deep understanding of Azure services, especially Azure Databricks and Azure ML. Highlight specific projects where you've successfully implemented these technologies.
✨Demonstrate Leadership Skills
Since the role involves leading teams, share examples of how you've effectively managed data engineering or ML Ops teams in the past. Discuss your approach to fostering collaboration and driving team performance.
✨Discuss Continuous Improvement Initiatives
Talk about how you've driven continuous improvement in previous roles. Provide concrete examples of how you've leveraged feedback and performance metrics to enhance project outcomes.
✨Prepare for Solution Design Discussions
Expect questions around solution designs and governance. Be ready to explain your process for creating solution designs and how you ensure they align with architecture and security standards.
