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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 collaboration.
- Benefits: Competitive daily rate, flexible work schedule, and inclusive culture.
- Other info: Diverse and inclusive environment with support for all applicants.
- Why this job: Join a dynamic team and empower stakeholders with data-driven insights.
- Qualifications: Experience with dbt, Python, SQL, and strong communication skills.
£650-700/day overall assignment rate to umbrella
6-month contract
2x days a week onsite in London
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:
- Develop, test, and maintain analytics models using dbt core
- Create dbt Tests and Documentation
- Utilise Git-Based Workflows
- Work closely with business analysts to translate analytical requirements into efficient and scalable data models
- On-Premises MSSQL Integration
- Python Development
- Champion Analytics Engineering Best Practices
- Continuous Improvement
Key Skills:
- Proven experience building and maintaining analytics models with dbt core
- Strong understanding of and hands-on ability to create dbt tests and maintain dbt documentation
- Proficiency with Git and collaborative development workflows (branching, pull requests, code review)
- 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
- Strong communication skills and the ability to document technical solutions clearly
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. 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.
Analytics Engineer in London employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Analytics Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the analytics field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with dbt, Python, and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Be ready to discuss how you've tackled data quality issues or collaborated with stakeholders to deliver actionable insights.
✨Tip Number 4
Don't forget to apply through our website! We’ve got some fantastic roles waiting for talented Analytics Engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Analytics 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 your skills match the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for the Analytics Engineer role. Share your passion for data and how you can help empower stakeholders with data-driven decisions.
Showcase Your Communication Skills: Since you'll be working closely with non-technical stakeholders, it's important to demonstrate your ability to communicate complex ideas clearly. We love seeing examples of how you've done this in past 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 ensure it gets the attention it deserves. Plus, it makes the process smoother for everyone!
How to prepare for a job interview at Sanderson
✨Know Your DBT Inside Out
Make sure you’re well-versed in dbt core, as it’s a key part of the role. Brush up on how to develop, test, and maintain analytics models using dbt, and be ready to discuss your past experiences with it during the interview.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess. Be ready to write complex queries on the spot and explain how you optimise them for performance. Practising common SQL problems can give you a leg up!
✨Communicate Like a Pro
Since you'll be working closely with non-technical stakeholders, practice explaining technical concepts in simple terms. Think about examples where you’ve successfully translated analytical requirements into actionable data solutions.
✨Familiarise Yourself with Git Workflows
Get comfortable with Git-based workflows, including branching, pull requests, and code reviews. You might be asked about your experience with collaborative development, so having specific examples ready will help you stand out.