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For Companies 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: Hybrid work model, competitive salary, and opportunities for professional growth.
- 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.
- Other info: Dynamic environment with mentorship opportunities and exposure to senior stakeholders.
The predicted salary is between 48000 - 72000 ÂŁ per year.
Location - Strategic UK Business Cities | Model - Hybrid – UK Citizens pls
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 employer: LT Harper - Cyber Security Recruitment
Contact Detail:
LT Harper - Cyber Security Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Manager - 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 lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Prepare for those interviews by brushing up on your technical skills. Make sure you can confidently discuss your experience with Microsoft Azure, Fabric, and Databricks. Practice explaining complex concepts in simple terms – it’ll impress those senior stakeholders!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and career goals. Use our website to find roles that excite you and tailor your approach to each one. Quality over quantity, folks!
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from your conversation to show you were engaged and are genuinely interested in the role.
We think you need these skills to ace Senior Manager - Data Engineering
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 senior stakeholders.
Showcase Your Technical Skills: Don’t forget to mention your Python and SQL expertise! We want to see how you’ve used these skills in real-world scenarios, so include any relevant projects or achievements that demonstrate your capabilities.
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 - Cyber Security Recruitment
✨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! Be ready to discuss specific projects where you've used these technologies, as this will show your hands-on experience.
✨Prepare for Stakeholder Engagement
Since the role involves engaging with senior stakeholders, practice translating complex technical concepts into simple terms. Think of examples where you've successfully communicated with non-technical audiences and be prepared to share those stories.
✨Showcase Your Leadership Skills
Highlight your experience in coaching and mentoring data engineers. Prepare examples of how you've set technical standards and best practices in previous roles, as this will demonstrate your ability to lead and develop high-performing teams.
✨Get Familiar with Bid Support
Since bid support is part of the role, review any past experiences you have in pre-sales or proposition development. Be ready to discuss how you’ve contributed to winning bids and what strategies you employed to shape high-quality technical responses.