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For Companies At a Glance
- Tasks: Design and build scalable data solutions using Azure and Snowflake.
- Company: Established insurance organisation investing in cloud and data platforms.
- Benefits: Competitive salary, up to 20% bonus, and long-term career growth.
- Why this job: Join a dynamic team and work on enterprise-scale data systems.
- Qualifications: Proven Data Engineer experience with strong Azure and SQL skills.
- Other info: Collaborative environment with opportunities for professional development.
The predicted salary is between 55000 - 85000 £ per year.
We’re working with a well-established insurance organisation investing heavily in its cloud and data platforms. They’re looking for a Data Engineer to play a key role in designing and delivering modern, scalable data solutions using Azure and Snowflake. This role offers the chance to work on enterprise-scale data systems while enjoying a strong financial package and long-term career growth.
What You’ll Be Doing
- Designing, building, and maintaining robust data pipelines using Azure Data Factory (ADF)
- Developing and optimising complex SQL transformations
- Working with Snowflake as the core cloud data warehouse
- Ingesting and transforming data from multiple internal and external sources
- Ensuring high standards of data quality, performance, security, and reliability
- Collaborating with analysts, architects, and business stakeholders
- Supporting analytics, reporting, and data-driven decision making across the business
What We’re Looking For
- Proven experience as a Data Engineer
- Strong hands-on experience with Azure data services
- Advanced SQL skills
- Strong experience working with Snowflake
- Good understanding of data warehousing and ELT/ETL patterns
- Experience in insurance or financial services is highly desirable
Data Engineer (Snowflake) - £65,000-£75,000 + Up to 20% Bonus (3 days onsite per quarter onsite) employer: Ascentia Partners
Contact Detail:
Ascentia Partners Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Snowflake) - £65,000-£75,000 + Up to 20% Bonus (3 days onsite per quarter onsite)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Azure and Snowflake. 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 your SQL and data pipeline knowledge. Be ready to discuss your experience with data warehousing and how you've tackled challenges in past projects.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic opportunities waiting for you, and applying directly can sometimes give you a leg up in the process.
We think you need these skills to ace Data Engineer (Snowflake) - £65,000-£75,000 + Up to 20% Bonus (3 days onsite per quarter onsite)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Azure, Snowflake, and SQL. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background makes you a perfect fit for our team. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any cool data projects, don’t forget to mention them! We love seeing real-world applications of your skills, especially if they involve data pipelines or cloud solutions.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
How to prepare for a job interview at Ascentia Partners
✨Know Your Tech Inside Out
Make sure you brush up on your Azure Data Factory and Snowflake skills. Be ready to discuss how you've designed and maintained data pipelines in the past, and have examples of SQL transformations you've optimised. This will show that you’re not just familiar with the tools, but that you can use them effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles, especially related to data quality and performance. Think of a couple of scenarios where you had to troubleshoot or improve a data process. This will demonstrate your analytical thinking and ability to collaborate with others.
✨Understand the Business Context
Since this role is within the insurance sector, do some research on how data impacts decision-making in this industry. Being able to connect your technical skills to business outcomes will impress the interviewers and show that you understand the bigger picture.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company's data strategy or the team dynamics. This not only shows your interest in the role but also gives you a chance to assess if the company culture aligns with your values. Plus, it keeps the conversation flowing!
