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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: Flexible remote work, competitive pay, and a supportive community.
- Other info: Inclusive environment 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 a passion for data solutions.
The predicted salary is between 30000 - 40000 £ per year.
£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 London employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in analytics or insurance. 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 analytics models and Python projects. 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 excited about joining our diverse community.
We think you need these skills to ace Remote engineer 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 you've tackled similar challenges in the past, so don’t hold back on those relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're the perfect fit for this role and how you can help us shape data models and enhance data quality. Keep it engaging and personal.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've partnered with non-technical stakeholders to deliver actionable data solutions. We love seeing how you’ve made an impact through collaboration!
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 this exciting opportunity with our leading insurance client!
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 this role, prepare to talk about your experience with it. Bring examples of projects where you've used Python for data engineering or analytics. If you can, demonstrate how your coding skills have led to actionable insights or improved processes.
✨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 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 discuss specific challenges you've faced with SQL in previous roles and how you overcame them. This will demonstrate your problem-solving abilities and technical expertise.