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- Tasks: Enhance data solutions and collaborate with teams to process data efficiently.
- Company: Leading global insurance broker with a focus on innovation.
- Benefits: Competitive salary, excellent benefits, and hybrid working model.
- Why this job: Join a dynamic team and make an impact in the insurance industry.
- Qualifications: Expertise in SQL, data warehousing, and experience in insurance.
- Other info: Opportunity for career growth in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading global insurance broker is looking for a skilled Data Engineer to enhance data solutions from their London City office. This role requires expertise in SQL and data warehousing, along with experience in the insurance industry. You will be collaborating with diverse teams to extract and process data efficiently, ensuring compliance with data security principles.
Competitive salary and excellent benefits are offered, alongside a hybrid working model of two days onsite each week.
Hybrid Data Engineer: Snowflake & DBT in Insurance employer: Arthur J. Gallagher & Co. (AJG)
Contact Detail:
Arthur J. Gallagher & Co. (AJG) Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Data Engineer: Snowflake & DBT in Insurance
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data engineering sectors on LinkedIn. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub with projects related to SQL, Snowflake, or DBT, make sure to highlight them during interviews. It’s all about demonstrating what you can do!
✨Tip Number 3
Prepare for those tricky questions! Brush up on common data engineering scenarios and be ready to discuss how you’d tackle them. We want to see your problem-solving skills in action!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Hybrid Data Engineer: Snowflake & DBT in Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your SQL and data warehousing skills, especially in the context of the insurance industry. We want to see how your experience aligns with the role, so don’t be shy about showcasing relevant projects!
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 you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working with diverse teams, make sure to mention any past experiences where you’ve successfully collaborated on projects. We value teamwork, so let us know how you can bring that to the table!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Arthur J. Gallagher & Co. (AJG)
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and data manipulation techniques, as these will likely come up during technical assessments.
✨Understand Data Warehousing Concepts
Familiarise yourself with data warehousing principles, especially in relation to Snowflake. Be ready to explain how you've used data warehousing solutions in past projects, particularly in the insurance sector.
✨Showcase Your Collaboration Skills
Since this role involves working with diverse teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you ensure everyone is on the same page when extracting and processing data.
✨Be Aware of Data Security Principles
Given the importance of data security in the insurance industry, be prepared to discuss how you ensure compliance with data security standards. Bring up any relevant experiences where you implemented security measures in your data engineering work.
