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- Tasks: Design and maintain data pipelines while collaborating with underwriters and analysts.
- Company: Join a forward-thinking insurance company managing over £250 million in assets.
- Benefits: Enjoy a dynamic work environment with regular social events and low bureaucracy.
- Why this job: Be part of a data-driven culture that values innovation and collaboration.
- Qualifications: 4 years in data engineering or analytics; strong SQL, ETL, and programming skills required.
- Other info: Open to exceptional recent graduates who meet most criteria.
The predicted salary is between 42000 - 84000 £ per year.
We’re working with a forward-thinking insurance company looking to hire a skilled Data Engineer to support its growing data infrastructure. The role is based in Manchester, within a Public Sector team managing over £250 million in portfolio assets.
The Role: You will design and maintain modern data pipelines, support analytical workflows, and collaborate closely with underwriters and analysts. The focus is on building robust, scalable solutions while promoting a data-driven culture. You will also help coach analysts to use models and tools effectively.
Key Requirements:
- ~4 years in a data engineering, analytics, or development role (insurance industry preferred)
- Strong SQL and ETL experience (e.g., DBT, Dataform)
- Familiar with cloud data platforms (BigQuery, AWS, or Azure)
- Programming skills (Python or R)
- Strong communicator and team collaborator
- Open to exceptional recent graduates who meet most of the criteria.
Culture & Benefits: The company promotes innovation, collaboration, and performance. Expect a dynamic environment with regular social events, low bureaucracy, and fast decision-making.
Data Engineer employer: Gravitas Recruitment Group (Global) Ltd
Contact Detail:
Gravitas Recruitment Group (Global) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific data tools and platforms mentioned in the job description, such as SQL, ETL processes, and cloud services like BigQuery or AWS. Being able to discuss your hands-on experience with these technologies during an interview will demonstrate your suitability for the role.
✨Tip Number 2
Network with professionals in the insurance sector, especially those working in data engineering roles. Attend industry meetups or online webinars to connect with potential colleagues and learn more about the company culture, which can give you an edge in interviews.
✨Tip Number 3
Prepare to showcase your problem-solving skills by thinking of examples where you've built scalable data solutions or improved data workflows. Be ready to discuss these experiences in detail, as they align closely with the responsibilities of the role.
✨Tip Number 4
Since the role involves coaching analysts, think about how you can demonstrate your communication skills and ability to collaborate effectively. Prepare examples of past experiences where you've successfully worked in a team or mentored others, as this will highlight your fit for the company's collaborative culture.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, analytics, or development, especially within the insurance sector. Emphasise your SQL and ETL skills, as well as any familiarity with cloud platforms like BigQuery, AWS, or Azure.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention specific projects or experiences that demonstrate your ability to design and maintain data pipelines, and how you can contribute to a data-driven culture.
Showcase Your Technical Skills: Include examples of your programming skills in Python or R, and detail any relevant projects where you've used these languages. If you have experience coaching others, mention this to highlight your collaborative nature.
Proofread and Edit: Before submitting your application, carefully proofread your documents for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial in a data engineering role.
How to prepare for a job interview at Gravitas Recruitment Group (Global) Ltd
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, ETL processes, and any cloud platforms you've worked with. Bring examples of projects where you designed data pipelines or supported analytical workflows, as this will demonstrate your hands-on expertise.
✨Understand the Insurance Sector
Familiarise yourself with the insurance industry, particularly how data engineering plays a role in managing portfolio assets. This knowledge will help you relate your skills to the company's needs and show that you're genuinely interested in the sector.
✨Emphasise Collaboration
Since the role involves working closely with underwriters and analysts, highlight your teamwork and communication skills. Prepare examples of how you've successfully collaborated on projects in the past, showcasing your ability to coach others and promote a data-driven culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data infrastructure and future projects. 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, especially regarding innovation and collaboration.
