At a Glance
- Tasks: Lead data engineering projects and shape complex data architecture for high-growth organisations.
- Company: Join a diverse team at a leading data engineering firm in the UK.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Dynamic environment with opportunities to mentor and develop future talent.
- Why this job: Make a real impact while advancing your career towards a Director-level role.
- Qualifications: Strong experience in data architecture, Microsoft Azure, Python, and SQL.
The predicted salary is between 75000 - 95000 € per year.
Location - Strategic UK Business Cities | Model - Hybrid – UK Citizens please
Salary: £75k – £95k
You’ll join a diverse team of exceptional talent delivering cutting-edge data engineering solutions for ambitious, high-growth organisations across the UK. Reporting directly to the Director, you’ll play a key role in shaping and delivering complex data architecture and engineering engagements. This role is ideal for someone who wants to deepen their influence with senior stakeholders, take ownership of major client engagements, and remain hands-on with modern data platforms — while continuing to grow toward a Director-level role.
What You’ll Be Doing
- You’ll work closely with Directors to support bids, contribute to propositions, and turn bids into pipeline.
- Using Microsoft Azure, Fabric and Databricks (and more) you'll lead the full lifecycle of engagement from design and delivery of robust, scalable data platforms.
- Writing and reviewing high-quality Python and SQL for data transformation, automation and analytics.
- Translating complex technical concepts into clear, actionable insights for senior, non-technical stakeholders.
- Coaching, mentoring and developing high-performing data engineers and architects, setting technical standards and best practice.
What You’ll Bring
- Strong hands-on experience in data architecture and data engineering, including end-to-end platform design and delivery.
- Deep expertise in Microsoft Azure cloud services for data storage, processing and analytics.
- Proven experience working with modern data platforms such as Fabric and Databricks, with strong Python and SQL skills.
- Experience leading complex client engagements or workstreams, with confidence engaging senior stakeholders.
- Exposure to bid support, pre-sales or proposition development, with the ability to shape high-quality technical responses.
Senior Manager - Data Engineering and AI employer: LT Harper Recruitment Group
Join a forward-thinking company that champions innovation and collaboration in the heart of the UK's strategic business cities. With a hybrid working model, we offer a supportive work culture that prioritises employee growth through mentorship and hands-on experience with cutting-edge technologies. Our commitment to diversity and inclusion ensures that every team member can thrive while contributing to impactful data engineering solutions for high-growth organisations.
Contact Detail:
LT Harper Recruitment Group Recruiting Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Manager - Data Engineering and AI
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and AI space. Attend industry events or webinars, and don’t be shy about introducing yourself to potential employers. We all know that sometimes it’s not just what you know, but who you know!
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Since you’ll be working with Azure, Fabric, and Databricks, make sure you can talk confidently about your experience with these platforms. We recommend doing some mock interviews to get comfortable with the questions you might face.
✨Tip Number 3
Showcase your leadership skills! As a Senior Manager, you’ll need to demonstrate your ability to coach and mentor others. Think of examples from your past where you’ve led teams or influenced stakeholders. We want to see how you can bring that experience to the table!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search. So, get your application in and let’s get the ball rolling!
We think you need these skills to ace Senior Manager - Data Engineering and AI
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Senior Manager role. Highlight your hands-on experience with data architecture, Azure, and Python to grab our attention!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've led complex client engagements and translated technical concepts for non-technical stakeholders.
Showcase Your Leadership Skills:Since this role involves coaching and mentoring, don’t forget to mention any experience you have in developing high-performing teams. We love to see how you’ve influenced others in your previous roles!
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 LT Harper Recruitment Group
✨Know Your Tech Inside Out
Make sure you’re well-versed in Microsoft Azure, Fabric, and Databricks. Brush up on your Python and SQL skills too, as you’ll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Leadership Skills
Prepare examples of how you've led complex client engagements or mentored junior team members. Highlight your ability to engage with senior stakeholders and translate technical jargon into clear insights.
✨Understand the Business Context
Research the company’s recent projects and understand their business model. Be ready to discuss how your data engineering solutions can drive value for high-growth organisations in the UK.
✨Practice Your Pitch
Since you'll be involved in bid support and proposition development, practice articulating your ideas clearly and confidently. Prepare to discuss how you can contribute to turning bids into pipeline effectively.
