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- Tasks: Shape data models and enhance data quality for impactful decision-making.
- Company: Leading insurance client with a focus on innovation and inclusivity.
- Benefits: Competitive contract rate, flexible remote work, and supportive environment.
- Other info: Inclusive culture welcoming applicants from all backgrounds.
- Why this job: Join a diverse team and make a real difference in data analytics.
- Qualifications: Experience with dbt, Python, SQL, and strong collaboration skills.
The predicted salary is between 30000 - 40000 £ per year.
Analytics Engineer
£6-month contract
Working with a leading insurance client who are looking for an Analytics Engineer contractor - the requirement is for someone to play a key role in shaping data models (DBT), enhancing data quality and empowering stakeholders to make data-driven decisions.
Key responsibilities:
- Work closely with business analysts to translate analytical requirements into efficient and scalable data models
- Python Development
- Champion Analytics Engineering Best Practices
Key skills:
- Proven experience building and maintaining analytics models with dbt core
- Demonstrable experience working with Python for data engineering or analytics purposes
- Ability to partner with non-technical stakeholders to understand requirements and deliver actionable data solutions
- Solid SQL skills, with the ability to write complex queries and optimise for performance
- Familiarity with data warehousing concepts, dimensional modelling, and ETL/ELT processes
- Experience with data quality assurance, testing frameworks, and troubleshooting data issues
We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Remote Engineer:in (m/w/d) in London employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Engineer:in (m/w/d) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in analytics or engineering. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving dbt and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and data modelling skills. Be ready to discuss how you've tackled data quality issues in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from candidates who are genuinely interested in joining our diverse community.
We think you need these skills to ace Remote Engineer:in (m/w/d) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with dbt, Python, and SQL. We want to see how your skills match the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. Keep it concise but impactful!
Showcase Your Problem-Solving Skills: In your application, mention specific examples where you've tackled data issues or improved data quality. We love seeing how you’ve made a difference in previous roles!
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!
How to prepare for a job interview at Sanderson
✨Know Your DBT Inside Out
Make sure you brush up on your DBT skills before the interview. Be ready to discuss how you've built and maintained analytics models using DBT core, and think of specific examples where you've enhanced data quality. This will show that you’re not just familiar with the tool, but that you can truly leverage it to drive results.
✨Show Off Your Python Prowess
Since Python development is a key part of the role, prepare to talk about your experience with it. Have a couple of projects in mind where you've used Python for data engineering or analytics. If you can, bring along some code snippets or examples to demonstrate your skills – this will really impress the interviewers!
✨Communicate Like a Pro
You’ll need to partner with non-technical stakeholders, so practice explaining complex concepts in simple terms. Think about how you’ve translated analytical requirements into actionable data solutions in the past. Being able to communicate effectively will set you apart from other candidates.
✨SQL Skills Are Key
Brush up on your SQL skills, especially writing complex queries and optimising them for performance. Be prepared to answer questions or even solve problems on the spot. You might be asked to demonstrate your ability to troubleshoot data issues, so having a solid grasp of data warehousing concepts will be beneficial.