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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, flexible working options, and opportunities for professional growth.
- Why this job: Join a team that drives AI-driven insights and shapes the future of data analytics.
- 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 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
✨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. Make it easy for potential employers to see what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. Think about how you would tackle real-world problems using your skills. Practising your responses will help you feel more confident when discussing your experience and knowledge.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might be perfect for you. Plus, applying directly shows your enthusiasm for joining our team and commitment to our values of diversity, equity, and inclusion.
We think you need these skills to ace Senior Data & Analytics Engineer — AI-Driven Insights Leader
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 and analytics, and how your background makes you a perfect fit for our team. Remember, we love seeing candidates who are committed to diversity, equity, and inclusion.
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’re keen to see 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’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
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. The more examples you can provide, the better!
✨Familiarise Yourself with Tools
Since the role requires proficiency in Google BigQuery and Terraform, take some time to review these tools. Be prepared to explain how you've used them in past projects and how they can benefit the company’s data warehousing initiatives.
✨Showcase Your Project Management Skills
This position involves managing data warehousing projects, so highlight your experience in leading such initiatives. Discuss your approach to integrating data from various SaaS sources and any challenges you’ve overcome in previous roles.
✨Embrace Diversity and Inclusion
The company values diversity, equity, and inclusion, so be ready to share your thoughts on these topics. Discuss how you’ve contributed to a diverse work environment in the past and how you plan to support this culture moving forward.
