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For Companies At a Glance
- Tasks: Design and implement data solutions while collaborating with various teams.
- Company: Join a leading organisation in the insurance sector, known for innovation.
- Benefits: Enjoy a hybrid work model and flexible hours, plus great corporate perks.
- Why this job: Take ownership of projects and become a trusted expert in a dynamic environment.
- Qualifications: Expertise in Python, SQL, and cloud platforms required; experience in data engineering preferred.
- Other info: Work 4 days in London and 1 day remotely, fostering a balanced work-life.
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.
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.
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 knowledge of data modelling techniques, especially Data Vault and Dimensional modelling. Being able to discuss these methods confidently will show that you're not just technically skilled but also understand the strategic importance of data architecture.
✨Tip Number 3
Network with professionals in the data engineering field, particularly those who work in insurance. Attend industry meetups or webinars to build connections and gain insights into what companies like us are looking for in a candidate.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms and ETL tools in detail. Be ready to share specific examples of how you've implemented data pipelines and automated workflows, as this will be crucial in demonstrating your hands-on expertise.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly in the insurance sector. Emphasise your expertise in Python, SQL, and any cloud platforms you've worked with, as these are key skills for the role.
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 stakeholder engagement and how you can contribute to the team.
Showcase Your Technical Skills: Be specific about your technical skills in your application. Include examples of projects where you've designed data lakes or implemented ETL processes, and mention any tools or methodologies you've used, such as Data Vault or Power BI.
Highlight Collaborative Experience: Since the role involves working closely with various teams, include examples of how you've successfully collaborated with stakeholders in previous roles. This will demonstrate your ability to build relationships and deliver business-driven solutions.
How to prepare for a job interview at Eden Smith Group
✨Showcase Your Technical Skills
Be prepared to discuss your expertise in programming languages like Python, Java, or Scala. Bring examples of data pipelines you've built and be ready to explain the ETL processes you've implemented.
✨Demonstrate Stakeholder Engagement
Since this role involves a lot of stakeholder interaction, share experiences where you've successfully collaborated with non-technical teams. Highlight how you translated technical concepts into business-friendly language.
✨Familiarise Yourself with Data Modelling Techniques
Brush up on Data Vault and Dimensional modelling methods. Be ready to discuss how you've applied these techniques in past projects and how they can benefit the organisation's data architecture.
✨Prepare for Questions on Cloud Platforms
Given the emphasis on cloud technologies, review your experience with AWS, Azure, or Google Cloud. Be ready to discuss specific projects where you've leveraged these platforms to enhance data solutions.
