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- Tasks: Lead a talented team in delivering innovative data solutions using Azure and Databricks.
- Company: Join a leading Microsoft consultancy known for driving data innovation.
- Benefits: Enjoy a competitive salary, 25 days holiday, and private health insurance after one year.
- Why this job: Make an impact by mentoring a team and working on cutting-edge projects.
- Qualifications: Hands-on Data Engineering experience with strong Azure and SQL skills required.
- Other info: Work remotely with all travel expenses covered and clear career development pathways.
The predicted salary is between 48000 - 64000 £ per year.
Join a Leading Microsoft Consultancy Driving Data Innovation. I’m working with a well-established Microsoft Partner with an incredible project pipeline, rapid growth, and a reputation for delivering Tech for Good. They’re working on cutting-edge projects using emerging technologies like Microsoft Fabric and Azure Databricks.
We’re looking for a Data Engineering Team Lead who combines hands-on technical expertise with leadership skills to mentor a talented team and deliver exceptional solutions for our clients.
What You’ll Do
- Lead and mentor a team of Technical Consultants, driving engagement, growth, and alignment with our culture.
- Oversee resource planning, scheduling, and performance management.
- Collaborate with Pre-sales, Commercial, and Project Management teams to scope and deliver projects.
- Ensure consistent delivery of technical solutions aligned with best practices and standards.
- Support technical delivery when needed, including designing scalable data solutions in Microsoft/Azure environments.
- Contribute to innovation through cloud migrations, data lakes, and robust ETL/ELT solutions.
What We’re Looking For
- Hands-on Data Engineering experience (not Data Analyst or Data Scientist roles).
- Strong background in Azure Synapse, Databricks, or Microsoft Fabric.
- Expertise in ETL/ELT development using SQL and Python.
- Experience implementing data lakes and medallion lakehouse architecture.
- Skilled in managing large datasets and writing advanced SQL/Python queries.
- Solid understanding of BI and data warehousing concepts.
- Excellent communication skills and ability to build strong relationships.
- Ideally, experience in consulting environments and working within high-performing teams.
The Company
- Rapid Growth & Exciting Projects - Continuing to grow working on cutting-edge Microsoft Cloud solutions.
- Investment in You - They invest in training and development, with clear certification pathways for you.
- Home-Based Contract - Work remotely with all travel expenses covered.
- UK-Based Delivery - We never offshore; all consultants are UK-based.
- Competitive salary and benefits, including:
- 25 days holiday
- Private health insurance (after one year)
- Life assurance (4x base salary)
- Enhanced parental pay
- Perkbox, Cyclescheme, Electric Car Scheme
Ready to lead and innovate? Apply now or send your CV directly to me: l.jones@tenthrevolution.com
Data Engineering Team Lead - Remote - Databricks - Azure - 80k in London employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Team Lead - Remote - Databricks - Azure - 80k in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend virtual meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Azure Databricks and ETL/ELT solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership skills. Be ready to discuss how you've mentored teams and delivered successful projects. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Engineering Team Lead - Remote - Databricks - Azure - 80k in London
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 data engineering experience, especially with Azure and Databricks, to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for the Data Engineering Team Lead role. Share specific examples of how you've led teams and delivered innovative solutions in the past.
Showcase Your Technical Skills: Don’t shy away from detailing your technical expertise in SQL, Python, and ETL/ELT development. We want to see how you’ve implemented data lakes and managed large datasets in your previous roles.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you brush up on your hands-on experience with Azure Synapse, Databricks, and Microsoft Fabric. Be ready to discuss specific projects where you've implemented ETL/ELT solutions using SQL and Python. This will show that you not only understand the theory but can also apply it in real-world scenarios.
✨Showcase Your Leadership Skills
As a Data Engineering Team Lead, you'll need to demonstrate your ability to mentor and lead a team. Prepare examples of how you've successfully managed teams in the past, focusing on engagement and growth. Highlight any experiences where you've driven alignment with company culture or improved team performance.
✨Collaborate Like a Pro
Since this role involves working closely with Pre-sales, Commercial, and Project Management teams, be prepared to discuss how you've collaborated across departments in previous roles. Share specific instances where your communication skills helped deliver successful projects or resolve conflicts.
✨Emphasise Innovation and Problem-Solving
The company values innovation, so think about how you've contributed to cutting-edge projects or cloud migrations in the past. Be ready to discuss your approach to designing scalable data solutions and how you've tackled challenges in implementing data lakes or medallion lakehouse architecture.
