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- Tasks: Architect a top-notch data platform and lead analytics development.
- Company: Leading AI platform in HR technology with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for mentorship.
- Why this job: Join a dynamic team and empower others with self-service data solutions.
- Qualifications: Expertise in data transformations, back-end engineering, and data modeling.
- Other info: Embrace a diverse work environment with great career growth potential.
The predicted salary is between 48000 - 72000 £ per year.
A leading AI platform in HR technology is seeking a skilled Data Engineer to architect a world-class data platform and lead analytics development. This role requires expertise in data transformations using dbt, back-end engineering skills, and a solid understanding of data modeling and pipelines.
The successful candidate will mentor team members, collaborate cross-functionally, and drive self-service data empowerment. This dynamic position supports diverse and inclusive values, ensuring a positive work environment.
Senior Data Platform Engineer – AI-Driven Analytics & Pipelines in London employer: Beamery
Contact Detail:
Beamery Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Engineer – AI-Driven Analytics & Pipelines in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data transformations, analytics projects, and any cool pipelines you've built. This is your chance to demonstrate your expertise and make a lasting impression.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and think about how you can highlight your mentoring experience and collaborative spirit.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Tailor your application to reflect your passion for AI-driven analytics and how you can contribute to our inclusive culture.
We think you need these skills to ace Senior Data Platform Engineer – AI-Driven Analytics & Pipelines in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your expertise in data transformations, dbt, and back-end engineering. We want to see how your skills align with the role of a Senior Data Platform Engineer, so don’t hold back!
Tailor Your Application: Customise your CV and cover letter to reflect the job description. Use keywords from the posting to demonstrate that you understand what we’re looking for in a candidate. It shows us you’re serious about the role!
Share Your Mentoring Experience: Since this role involves mentoring, include examples of how you've supported and guided others in your previous positions. We value collaboration and want to know how you can contribute to our team culture.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Beamery
✨Know Your Data Inside Out
Make sure you’re well-versed in data transformations, especially using dbt. Brush up on your back-end engineering skills and be ready to discuss your experience with data modeling and pipelines. The more specific examples you can provide, the better!
✨Showcase Your Mentorship Skills
Since this role involves mentoring team members, think of instances where you've successfully guided others. Be prepared to share how you’ve helped colleagues grow and how you approach collaboration across teams.
✨Emphasise Self-Service Data Empowerment
This position values self-service data empowerment, so come equipped with ideas on how to drive this within a team. Discuss any previous experiences where you’ve implemented or improved self-service analytics for users.
✨Align with Company Values
Familiarise yourself with the company’s diverse and inclusive values. During the interview, express how you can contribute to a positive work environment and support these values in your day-to-day work.
