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- Tasks: Lead the design and operation of a cloud-based data platform while mentoring a team.
- Company: Join a forward-thinking organisation focused on innovative data solutions.
- Benefits: Competitive day rate, hybrid working, and opportunities for professional growth.
- Why this job: Make a real impact by optimising data solutions in a dynamic environment.
- Qualifications: Strong Azure skills and experience in leading or mentoring data engineers.
- Other info: Work outside IR35 with a focus on engineering standards and best practices.
The predicted salary is between 60000 - 84000 £ per year.
We are looking for a hands-on Data Engineering Lead to take technical ownership of a cloud-based enterprise data platform within a group organisation. You'll combine strong Azure data engineering skills with technical leadership, mentoring a small team while remaining deeply involved in delivery.
Key Skills & Experience:
- Microsoft Azure data platforms
- Azure Databricks, SQL & data modelling
- Power BI for analytics and reporting
- Terraform / Infrastructure as Code
- CI/CD with GitHub Actions
- Experience leading or mentoring data engineers
Responsibilities:
- Own the design, build, and operation of the data platform
- Develop and optimise data pipelines and SQL data layers
- Ensure reliable, scalable, and secure data solutions
- Lead engineering standards and best practices
- Collaborate with technical and business stakeholders
Nice to Have:
- Azure monitoring & DevOps tooling
- Data governance and security in Azure
Hybrid working. Outside IR35. Competitive day rate. Apply now to discuss further details.
Data Engineering Lead employer: Eutopia Solutions ltd
Contact Detail:
Eutopia Solutions ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineering Lead
✨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 refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Azure projects, data pipelines, and any cool stuff you've built with Power BI. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and leadership experience. Be ready to discuss how you've mentored teams and tackled challenges in data engineering. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to find roles that match your skills. Plus, it shows you're serious about joining our team and helps us get to know you better.
We think you need these skills to ace Data Engineering Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Azure data engineering skills and any experience you have with leading teams. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for the Data Engineering Lead position. Share your passion for data engineering and how you can contribute to our cloud-based enterprise data platform.
Showcase Your Technical Skills: When filling out your application, make sure to mention your experience with Azure Databricks, SQL, and CI/CD practices. We’re looking for someone who can hit the ground running, so let us know what tools you’re comfortable with!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Eutopia Solutions ltd
✨Know Your Azure Inside Out
Make sure you brush up on your Microsoft Azure skills, especially around data platforms and Azure Databricks. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Since this role involves mentoring a small team, be prepared to share examples of how you've led or supported other data engineers in the past. Highlight your approach to fostering collaboration and maintaining engineering standards.
✨Demonstrate Your Problem-Solving Abilities
Think of scenarios where you've developed or optimised data pipelines. Be ready to explain your thought process and the impact of your solutions on the overall data platform. This will show your hands-on experience and technical ownership.
✨Engage with Stakeholders
Collaboration is key in this role, so prepare to discuss how you've worked with both technical and business stakeholders in previous positions. Share examples of how you ensured everyone was aligned and how you handled any conflicts that arose.
