Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data pipelines, ensuring quality and integrity while solving integration challenges.
- Company: Join a company revolutionizing insurance with advanced data intelligence for small and medium-sized businesses.
- Benefits: Enjoy a fully remote role with flexible work options and the chance to impact the insurance industry.
- Why this job: Be part of a dynamic team that values collaboration and innovation in data analytics.
- Qualifications: Bachelor’s or Master’s in Computer Science; 3+ years in data engineering with strong SQL and Python skills.
- Other info: Reach out directly for more info or apply to kickstart your career!
The predicted salary is between 36000 - 60000 £ per year.
Analytics Engineer
Job Type: Permanent Position
Location: Fully Remote (UK Based)
Start Date: ASAP
About The Company:
We have partnered with a company that empowers underwriters to serve their insureds more effectively. They are using advanced data intelligence tools to rebuild the way that underwriters share and exchange risk. With a current focus on the small and medium-sized businesses that power our global economy and their niche insurance needs, they leverage granular information on each policy to deliver unprecedented insight into insurance pools, and their speciality portfolio is fully diversified with very low catastrophe, aggregation or systemic risk.
The Role:
- Designing and implementing data pipelines and models, ensuring data quality and integrity.
- Solving challenging data integration problems, utilising optimal patterns, frameworks, query techniques, sourcing from vast and varying data sources.
- Building, maintaining, and optimising our Data Warehouse to support reporting and analytics needs.
- Collaborating with product managers, business stakeholders and engineers to understand the data needs, representing key data insights in a meaningful way.
- Staying up-to-date with industry trends and best practices in data modelling, database development, and analytics.
- Optimising pipelines, frameworks, and systems to facilitate easier development of data artifacts.
You will be successful if you have:
- A Bachelor’s or Master\’s degree in Computer Science, Information Systems, or a related field.
- 3+ years of experience in building data pipelines, models and maintaining Data Warehouses for reporting and analytics.
- Strong skills in SQL, Python, problem-solving and data analysis.
- Deep Experience with Snowflake and AWS
- Deep Experience with dbt.
- Excellent communication and collaboration skills.
- An eagerness to learn and collaborate with others, learn quickly and able to work with little supervision.
If you would like to have a chat about this exciting opportunity, apply below or reach out directly to g.ndonfak@annapurnarecruitment.com
Data Engineer employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Make sure to showcase your experience with SQL, Python, and data analysis in your conversations. Highlight specific projects where you've successfully built data pipelines or maintained Data Warehouses, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with Snowflake and AWS before your chat. Being able to discuss how you've utilized these tools in past roles will demonstrate your technical expertise and readiness for the position.
✨Tip Number 3
Prepare to discuss your problem-solving approach to data integration challenges. Think of examples where you’ve optimized data pipelines or frameworks, as this will show your ability to tackle complex issues effectively.
✨Tip Number 4
Emphasize your collaboration skills during discussions. Be ready to share experiences where you worked closely with product managers or business stakeholders to meet their data needs, as this is crucial for the role.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Engineer position. Understand the key responsibilities and required skills, such as experience with SQL, Python, Snowflake, and AWS.
Tailor Your CV: Customize your CV to highlight relevant experience in building data pipelines and maintaining Data Warehouses. Emphasize your problem-solving skills and any specific projects that showcase your expertise in data analysis.
Craft a Compelling Cover Letter: Write a cover letter that connects your background to the company's mission of empowering underwriters. Mention your eagerness to learn and collaborate, and how your skills align with their needs.
Highlight Collaboration Skills: Since the role involves working with product managers and business stakeholders, make sure to include examples of past collaborations in your application. Show how you effectively communicated data insights in previous roles.
How to prepare for a job interview at Annapurna
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Python, Snowflake, and AWS in detail. Bring examples of data pipelines or models you've built, and be ready to explain the challenges you faced and how you overcame them.
✨Understand the Company's Mission
Research the company’s focus on empowering underwriters and their approach to data intelligence. This will help you align your answers with their goals and demonstrate your genuine interest in their work.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data integration and optimization. Practice articulating your thought process clearly and logically when tackling complex data scenarios.
✨Emphasize Collaboration Skills
Since the role involves working closely with product managers and business stakeholders, highlight your communication and collaboration experiences. Share specific examples of how you've successfully worked in teams to achieve data-driven outcomes.
