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- Tasks: Design and deploy complex data models while managing exciting data warehousing projects.
- Company: Leading tech company in the UK with a strong focus on diversity and inclusion.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a team driving AI-driven insights and make a significant impact in the tech industry.
- Qualifications: 8+ years in data orchestration, ETL/ELT development, and SQL proficiency required.
- Other info: Dynamic work environment with a commitment to innovation and collaboration.
The predicted salary is between 48000 - 72000 £ per year.
A leading tech company in the United Kingdom is seeking an experienced Data & Analytics Senior Engineer to design, build, and deploy complex data models. The role involves managing data warehousing projects and integrating data from various SaaS sources.
Candidates should have:
- Over 8 years of experience in data orchestration and ETL/ELT development
- Proficiency in SQL
- Familiarity with tools like Google BigQuery and Terraform
A commitment to diversity, equity, and inclusion is integral to the company culture.
Senior Data & Analytics Engineer — AI-Driven Insights Leader in London employer: Anaplan
Contact Detail:
Anaplan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Analytics Engineer — AI-Driven Insights Leader in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and analytics field. Attend meetups or webinars where you can chat with industry folks. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data models and projects. This is your chance to demonstrate your expertise in SQL, ETL/ELT development, and tools like Google BigQuery. A strong portfolio can really set you apart!
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data orchestration and warehousing. Practice explaining your past projects and how you tackled challenges. Confidence and clarity can make a huge difference!
✨Tip Number 4
Don’t forget to apply through our website! We’re all about diversity, equity, and inclusion, so if you resonate with our values, we want to hear from you. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data & Analytics Engineer — AI-Driven Insights Leader in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data orchestration and ETL/ELT development. We want to see how your skills align with the role, so don’t be shy about showcasing your proficiency in SQL and any relevant tools like Google BigQuery and Terraform.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Remember, we value diversity, equity, and inclusion, so feel free to share your unique perspective.
Showcase Your Projects: If you've worked on interesting data warehousing projects or integrated data from various SaaS sources, make sure to mention them! We love seeing real-world examples of your work that demonstrate your expertise and problem-solving skills.
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Anaplan
✨Know Your Data Inside Out
Make sure you’re well-versed in data orchestration and ETL/ELT processes. Brush up on your SQL skills and be ready to discuss specific projects where you've designed and deployed complex data models. This will show that you not only understand the theory but have practical experience too.
✨Familiarise Yourself with Tools
Since the role mentions Google BigQuery and Terraform, it’s crucial to demonstrate your proficiency with these tools. Prepare examples of how you've used them in past projects, and if possible, bring along a small demo or visualisation to showcase your work.
✨Emphasise Diversity and Inclusion
This company values diversity, equity, and inclusion, so be prepared to discuss how you’ve contributed to these areas in your previous roles. Share experiences where you’ve worked in diverse teams or initiatives you’ve led that promote an inclusive environment.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This not only shows your interest but also helps you gauge if the company aligns with your career goals.
