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 remote work flexibility and the chance to work with cutting-edge technology.
- Why this job: Be part of a team that values collaboration and innovation in a rapidly evolving industry.
- Qualifications: 5+ years in data engineering, strong SQL and Python skills, and experience with Snowflake and AWS required.
- Other info: Reach out directly for a chat about this exciting opportunity!
The predicted salary is between 43200 - 72000 £ per year.
Senior Analytics Engineer Location: Remote (United Kingdom) 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. 5+ 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
Senior Data Engineer employer: Annapurna
Contact Detail:
Annapurna Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Make sure to showcase your experience with data pipelines and Data Warehouses in your conversations. Highlight specific projects where you've successfully implemented these systems, as this will resonate well with the hiring team.
✨Tip Number 2
Familiarize yourself with the latest trends in data modeling and analytics. Being able to discuss recent advancements or best practices during your chat will demonstrate your commitment to staying current in the field.
✨Tip Number 3
Prepare to discuss your experience with Snowflake and AWS in detail. Be ready to explain how you've utilized these tools in past roles, as they are crucial for the position you're applying for.
✨Tip Number 4
Emphasize your collaboration skills. Since the role involves working closely with product managers and engineers, sharing examples of successful teamwork will help you stand out as a candidate who can thrive in their environment.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Senior 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 demonstrate your expertise in data analytics.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for data engineering and your eagerness to contribute to the company's mission. Mention how your background aligns with their focus on small and medium-sized businesses and your ability to collaborate effectively.
Highlight Continuous Learning: In your application, mention any recent courses, certifications, or industry trends you are following related to data modeling and analytics. This shows your commitment to staying up-to-date and your eagerness to learn.
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.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Think of specific scenarios where you had to solve complex data integration issues and be ready to walk through your thought process and the solutions you implemented.
✨Highlight Collaboration Experience
Since the role involves working closely with product managers and business stakeholders, share examples of past collaborations. Discuss how you gathered requirements and translated them into actionable data insights.
✨Stay Updated on Industry Trends
Research current trends in data modeling and analytics before the interview. Being able to discuss recent advancements or best practices will show your enthusiasm for the field and your commitment to continuous learning.
