At a Glance
- Tasks: Lead data engineering efforts and design high-performing SQL and PySpark pipelines.
- Company: A national law firm with a supportive and inclusive team culture.
- Benefits: Competitive salary, mentorship opportunities, and a focus on data governance.
- Other info: Join a dynamic environment with a commitment to data accuracy.
- Why this job: Make a real impact by delivering high-quality data for analytics tools.
- Qualifications: Expert-level SQL skills and experience in mentoring engineers.
The predicted salary is between 60000 - 80000 £ per year.
A national law firm is seeking a Senior Analytics Engineer to lead data engineering efforts in their Lakehouse environment. You will design and deliver high-performing SQL and PySpark transformation pipelines, ensuring data accuracy and governance for analytics tools like Power BI.
Ideal candidates will possess:
- Expert-level SQL skills
- A strong understanding of dimensional modelling
- Experience in mentoring engineers
Join a supportive team committed to delivering high-quality data in an inclusive environment.
Senior Analytics Engineer: Lakehouse Data Platform Lead employer: Irwin Mitchell
Irwin Mitchell LLP is an exceptional employer, offering a supportive and collaborative work environment in Birmingham's leading Medical Negligence team. With a strong focus on employee well-being, generous holiday allowances, and opportunities for professional growth, you will be empowered to make a meaningful impact while receiving comprehensive support throughout your career journey.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Lakehouse Data Platform Lead
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics and data engineering space. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and PySpark projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on dimensional modelling and data governance. Be ready to discuss how you’ve ensured data accuracy in past projects – it’s a big deal for firms like the one hiring!
✨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 Senior Analytics Engineer: Lakehouse Data Platform Lead
Some tips for your application 🫡
Show Off Your SQL Skills:Make sure to highlight your expert-level SQL skills in your application. We want to see how you've used SQL in past projects, especially in relation to data transformation and governance.
Talk About Your Experience with PySpark:If you've worked with PySpark, let us know! Share specific examples of how you've designed and delivered transformation pipelines. This will help us understand your technical prowess and fit for the role.
Mentorship Matters:Since mentoring is a key part of this role, don’t forget to mention any experience you have in guiding other engineers. We value a supportive team environment, so show us how you can contribute to that!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Irwin Mitchell
✨Master Your SQL and PySpark Skills
Make sure you brush up on your SQL and PySpark skills before the interview. Be ready to discuss specific projects where you've designed transformation pipelines, and be prepared to demonstrate your understanding of data accuracy and governance.
✨Showcase Your Dimensional Modelling Knowledge
Since the role requires a strong understanding of dimensional modelling, come prepared with examples of how you've implemented this in past projects. Discuss the challenges you faced and how you overcame them to ensure high-quality data delivery.
✨Prepare for Mentoring Questions
As a Senior Analytics Engineer, you'll likely be mentoring other engineers. Think about your mentoring style and prepare to share examples of how you've successfully guided others in their professional development. This will show your leadership capabilities.
✨Emphasise Team Collaboration
This role is within a supportive team environment, so highlight your experience working collaboratively. Be ready to discuss how you've contributed to team success and fostered an inclusive atmosphere in previous roles.
