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 UK tech firm with a collaborative culture.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Ideal for those looking to advance towards a Director-level role.
- Why this job: Make an impact by working with cutting-edge technologies and mentoring future talent.
- Qualifications: Strong experience in data architecture, Azure, Python, and SQL required.
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.
AI & Data Engineering - Senior Manager 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 work model, we offer a dynamic work culture that prioritises employee growth through mentorship and hands-on experience with cutting-edge technologies. Our commitment to diversity and excellence ensures that you will thrive in an environment where your contributions are valued and your career aspirations can be realised.
Contact Details:
LT Harper Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land AI & Data Engineering - Senior Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can land you that dream role.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering and AI. We recommend doing mock interviews with friends or using online resources to get comfortable discussing your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of your projects, especially those involving Microsoft Azure, Fabric, and Databricks. We want to see your hands-on experience, so make sure to highlight your best work when chatting with potential employers.
✨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!
We think you need these skills to ace AI & Data Engineering - Senior Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with data architecture and engineering, especially with Microsoft Azure and modern data platforms like Fabric and Databricks.
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 Technical Skills:Don’t shy away from showcasing your Python and SQL skills in your application. If you’ve worked on any relevant projects, mention them! We love seeing practical applications of your expertise.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
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, as you'll likely be asked to demonstrate your technical knowledge. Prepare to discuss specific projects where you've used these technologies.
✨Showcase Your Leadership Skills
As a Senior Manager, you'll need to demonstrate your ability to lead teams and engage with senior stakeholders. Think of examples where you've successfully coached or mentored others, and be ready to share how you’ve influenced project outcomes.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and how you handle complex client engagements. Prepare scenarios where you turned challenges into opportunities, especially in data architecture and engineering.
✨Communicate Clearly with Non-Techies
You’ll need to translate complex technical concepts into actionable insights for non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact rather than the technical details.
