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- Tasks: Design and implement data solutions while collaborating with various teams.
- Company: Join a well-established organisation in the insurance sector.
- Benefits: Enjoy a hybrid working model with 4 days in the office and 1 day remote.
- Why this job: Take ownership of projects and become a trusted expert in a dynamic environment.
- Qualifications: Expertise in Python, SQL, and cloud platforms; insurance experience preferred.
- Other info: Engage with stakeholders and contribute to impactful data visualisation solutions.
The predicted salary is between 43200 - 72000 £ per year.
An exciting opportunity has arisen to join a well established organisation in the insurance space, in a challenging Data Engineer role.
There will be a lot of stakeholder engagement, so the ideal candidate will have both hands on and business facing experience. Preferably in the insurance sector.
Key responsibilities:
- Design Data Lake and Data Warehouse solutions.
- Design Data Models using Data Vault and Dimensional modelling methods
- Implement automated, reusable and efficient batch data pipelines and streaming data pipelines
- Work closely with Governance and Quality teams to ensure metadata, catalogue, lineage and known solutions to data issues are optimised
- Work closely with other data specialists and technicians in the organisation, such as Actuarial and Finance, to help with their data presentation requirements and help deliver data for visualisation solutions, such as Power BI
Key skills required:
- Expertise in Python, Java, Scala, or other programming languages used to build data pipelines, implement data transformations, and automate data workflows.
- Strong knowledge of Power BI
- Strong SQL experience.
- Familiarity with technical data structures, data pipelines and data science techniques, understanding complex systems.
- Extensive knowledge of ETL tools essential for building data pipelines effectively.
- Strong experience with cloud platforms like AWS, Azure, or Google Cloud
- The ability to build collaborative relationships with stakeholders from across the organisation, working together to deliver business-driven solutions.
- Solid Experience in the Insurance Industry
This is a great opportunity for a well rounded, end to end Data Engineer, who would like to take real ownership of a project and be a trusted subject matter expert.
The hybrid working model will be 4 days per week in the London office with the 5th day worked remotely.
If you are interested please apply for full details.
Senior Data Engineer employer: Eden Smith Group
Contact Detail:
Eden Smith Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Familiarise yourself with the insurance sector and its specific data challenges. Understanding the nuances of how data is used in insurance will help you engage effectively with stakeholders and demonstrate your value during discussions.
✨Tip Number 2
Brush up on your technical skills, especially in Python, SQL, and Power BI. Being able to showcase your proficiency in these areas during interviews will set you apart from other candidates.
✨Tip Number 3
Prepare examples of past projects where you've designed data models or built data pipelines. Be ready to discuss your approach, the tools you used, and the impact your work had on the organisation.
✨Tip Number 4
Network with professionals in the insurance and data engineering fields. Attend industry events or join relevant online communities to build connections that could lead to referrals or insights about the role.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, particularly in the insurance sector. Emphasise your skills in Python, SQL, and any cloud platforms you've worked with, as well as your ability to engage with stakeholders.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in this specific role and how your background aligns with the responsibilities outlined. Mention your experience with Data Lake and Data Warehouse solutions, and your familiarity with ETL tools.
Showcase Relevant Projects: If you have worked on projects that involved designing data models or implementing data pipelines, be sure to include these in your application. Provide specific examples of how you contributed to the success of these projects.
Highlight Stakeholder Engagement: Since the role involves significant stakeholder engagement, describe your experience in collaborating with different teams. Illustrate how you've built relationships and delivered business-driven solutions in previous roles.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in Python, Java, Scala, and SQL. Bring examples of how you've implemented data pipelines and transformations in previous roles, especially in the insurance sector.
✨Demonstrate Stakeholder Engagement
Since this role involves a lot of stakeholder interaction, be ready to share experiences where you've successfully collaborated with different teams. Highlight how you’ve built relationships and delivered business-driven solutions.
✨Discuss Data Modelling Techniques
Familiarise yourself with Data Vault and Dimensional modelling methods. Be prepared to explain how you've applied these techniques in your past projects and the impact they had on data management.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about challenges you've faced in data governance or quality assurance and how you overcame them, particularly in relation to metadata and data lineage.
