At a Glance
- Tasks: Design and build data pipelines while owning end-to-end data processes.
- Company: A leading city-based Insurer with a growing Data Team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a significant impact in the insurance industry.
- Qualifications: 5+ years of data engineering experience and strong SQL skills required.
- Other info: Ideal for those passionate about data and looking to advance their career.
The predicted salary is between 43200 - 72000 £ per year.
A city-based Insurer is looking to appoint a Senior Data Engineer to join their expanding Data Team. You will take ownership of the end-to-end data processes, designing and building the data pipelines. You will also develop the data models and storage structures.
Key Requirements
- Strong London Market Insurance experience
- At least 5 years data engineering experience
- Strong SQL capabilities
- Strong Power-BI and Excel skills
- Experience designing and operating data processes
- Proven track record in hands-on data settings
Senior Data Engineer in City of London employer: HFG
Contact Detail:
HFG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the insurance and data engineering fields. Attend industry meetups or webinars to meet potential employers and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This will give you an edge and demonstrate your hands-on experience.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Power-BI skills. Be ready to discuss specific challenges you've faced in data engineering and how you tackled them.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right opportunities and connect with companies looking for talent like yours.
We think you need these skills to ace Senior Data Engineer in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially in the London Market Insurance sector. We want to see how your skills align with the key requirements, so don’t be shy about showcasing your SQL, Power-BI, and Excel expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for our Senior Data Engineer role. Share specific examples of your past projects and how they relate to designing and building data pipelines.
Showcase Your Hands-On Experience: We love seeing a proven track record! In your application, highlight any hands-on data settings you've worked in. Talk about the challenges you faced and how you overcame them, especially in relation to data processes and storage structures.
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 ensures you don’t miss out on any important updates. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at HFG
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data engineering principles, especially in the context of the London Market Insurance. Be ready to discuss specific projects where you've designed and built data pipelines, as well as any challenges you faced and how you overcame them.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL capabilities during the interview. You might be asked to solve a problem or optimise a query on the spot, so practice common SQL scenarios and be ready to explain your thought process clearly.
✨Highlight Your Power-BI and Excel Expertise
Since strong Power-BI and Excel skills are key for this role, come prepared with examples of how you've used these tools to create impactful data visualisations or reports. If possible, bring along a portfolio or screenshots of your work to showcase your abilities.
✨Discuss Your Hands-On Experience
Be ready to talk about your hands-on experience in data settings. Share specific examples of how you've taken ownership of data processes, including any innovative solutions you've implemented. This will show that you not only understand the theory but can also apply it effectively in real-world situations.