Analytics Engineer: Data Platform & BI, London Equity
Analytics Engineer: Data Platform & BI, London Equity

Analytics Engineer: Data Platform & BI, London Equity

Full-Time 36000 - 60000 £ / year (est.) No home office possible
Blink - Employee Experience Platform

At a Glance

  • Tasks: Bridge data infrastructure with analytics and optimise models for quality insights.
  • Company: High-growth tech company in London with a mission-driven culture.
  • Benefits: Competitive salary, stock options, 25 days' leave, and private healthcare.
  • Why this job: Join a supportive team and make an impact in the tech industry.
  • Qualifications: Proficient in SQL, dbt, and modern data stack experience.
  • Other info: Exciting opportunity for career growth in a dynamic environment.

The predicted salary is between 36000 - 60000 £ per year.

A high-growth tech company in London is seeking a dedicated Data Engineer to bridge data infrastructure with analytics. You will optimize models, ensure data quality, and collaborate with stakeholders. This role is perfect for someone skilled in SQL, dbt, and working with a modern data stack.

Benefits include:

  • Competitive salary
  • Stock options
  • 25 days' leave
  • Private healthcare
  • Supportive team culture

Join us and be part of a mission-driven journey in the tech industry.

Analytics Engineer: Data Platform & BI, London Equity employer: Blink - Employee Experience Platform

Join a high-growth tech company in London that prioritises employee well-being and professional development. With a competitive salary, stock options, and 25 days' leave, you will thrive in a supportive team culture that encourages collaboration and innovation. This role offers unique opportunities for growth within the dynamic tech industry, making it an excellent choice for those seeking meaningful and rewarding employment.
Blink - Employee Experience Platform

Contact Detail:

Blink - Employee Experience Platform Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Analytics Engineer: Data Platform & BI, London Equity

✨Tip Number 1

Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your SQL and dbt projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.

✨Tip Number 3

Prepare for those interviews! Research common questions for Data Engineers and practice your answers. We want you to feel confident and ready to impress!

✨Tip Number 4

Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are keen to join our mission-driven journey.

We think you need these skills to ace Analytics Engineer: Data Platform & BI, London Equity

SQL
dbt
Data Quality Assurance
Data Modelling
Collaboration Skills
Modern Data Stack
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with SQL, dbt, and any modern data stacks you've worked with. We want to see how your skills align 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! Tell us why you’re passionate about data engineering and how you can contribute to our mission. Keep it engaging and personal – we love to see your personality come through.

Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've optimised models or ensured data quality. We’re looking for someone who can bridge the gap between data infrastructure and analytics, so let us know how you’ve done this in the past!

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 shows us you’re keen on joining our team!

How to prepare for a job interview at Blink - Employee Experience Platform

✨Know Your SQL Inside Out

Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with complex queries and data manipulation, as this will likely come up. Practising common SQL problems can give you the edge.

✨Familiarise Yourself with dbt

Since this role involves working with dbt, it’s crucial to understand its functionalities and how it fits into the modern data stack. Consider preparing a few examples of how you've used dbt in past projects to showcase your expertise.

✨Understand Data Quality Principles

Data quality is key in this role, so be ready to talk about your approach to ensuring data integrity. Think of specific instances where you identified and resolved data quality issues, as this will demonstrate your problem-solving skills.

✨Engage with Stakeholders

Collaboration is essential, so prepare to discuss how you've worked with different stakeholders in previous roles. Highlight your communication skills and any tools or methods you’ve used to ensure everyone is on the same page.

Analytics Engineer: Data Platform & BI, London Equity
Blink - Employee Experience Platform

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