At a Glance
- Tasks: Lead a team to build and scale a data warehouse while nurturing engineers' growth.
- Company: Join a forward-thinking company focused on data innovation and excellence.
- Benefits: Competitive salary, professional development, and a chance to shape the future of data.
- Other info: Opportunity to work in finance with excellent career advancement potential.
- Why this job: Make a real impact by leading cutting-edge data projects in a dynamic environment.
- Qualifications: Experience in managing engineers and strong data warehousing skills required.
The predicted salary is between 80000 - 100000 £ per year.
The role involves leading a team of engineers to build and scale a data warehouse. This includes developing downstream data models from backend services. The position focuses on nurturing engineers' professional development and guiding technical initiatives. It also entails ensuring the team delivers valuable work with attention to detail and establishing best practices in data governance.
Required Qualifications and Skills
- Experience in managing or mentoring high-performing engineers.
- Strong experience in data warehousing architecture at scale.
- Experience and a passion for leading data warehousing, data visualisation, big data, or ETL projects.
- The ability to hire great engineers within the data space.
- Comfort in both hands-on work and team leadership.
- Experience in a finance or banking environment and working in a highly regulated environment are considered beneficial.
- Experience with dbt, BigQuery, and Looker are also listed as nice-to-haves.
Senior Analytics Engineering Manager employer: Towards AI, Inc.
As a Senior Analytics Engineering Manager at our company, you will thrive in a dynamic and supportive work culture that prioritises professional growth and innovation. We offer competitive benefits, including flexible working arrangements and opportunities for continuous learning, all within a collaborative environment that values your contributions to impactful data projects. Join us in a location that fosters creativity and teamwork, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the data space, especially those who work in finance or banking. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your past projects in data warehousing, ETL, or data visualisation. This will help you stand out during interviews and demonstrate your hands-on experience.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your knowledge of dbt, BigQuery, and Looker. Mock interviews with friends or mentors can help you feel more confident.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be just what you’re looking for. Plus, it’s a great way to show your interest in joining our team at StudySmarter.
We think you need these skills to ace Senior Analytics Engineering Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data warehousing and team leadership. We want to see how you've nurtured engineers and led technical initiatives, so don’t hold back on those details!
Showcase Your Projects:Include specific examples of projects you've worked on, especially those involving big data, ETL, or data visualisation. We love seeing tangible results, so share how your contributions made a difference!
Highlight Your Leadership Style:Since this role is all about guiding and mentoring, let us know how you approach team development. Share any strategies you've used to foster a high-performing environment and ensure best practices.
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 this exciting opportunity with StudySmarter!
How to prepare for a job interview at Towards AI, Inc.
✨Know Your Data Inside Out
Make sure you’re well-versed in data warehousing concepts and the specific tools mentioned in the job description, like dbt, BigQuery, and Looker. Brush up on your experience with ETL processes and be ready to discuss how you've implemented these in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in managing and mentoring engineers. Think about specific instances where you’ve nurtured talent or led a team through a challenging project. This will demonstrate your ability to guide technical initiatives effectively.
✨Emphasise Attention to Detail
Since the role requires delivering valuable work with a keen eye for detail, be prepared to discuss how you ensure quality in your projects. Share any best practices you’ve established in data governance and how they’ve positively impacted your previous teams.
✨Understand the Industry Context
If you have experience in finance or banking, make sure to highlight it. Discuss how working in a highly regulated environment has shaped your approach to data management and compliance. This will show that you understand the unique challenges of the industry.
