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For Companies At a Glance
- Tasks: Design data structures, resolve pipeline issues, and implement deployable code.
- Company: Join a leading client in the insurance sector, focused on innovative data solutions.
- Benefits: Enjoy a competitive rate of up to £550/day with a long-term contract.
- Why this job: Perfect for tech-savvy individuals wanting to make an impact in the insurance industry.
- Qualifications: 3+ years Databricks, 5+ years SQL, Python, Azure, and excellent communication skills required.
- Other info: Contract length is 6 months rolling; ideal for those seeking stability.
The predicted salary is between 39600 - 66000 £ per year.
Realm are hiring on behalf of our client in the insurance space who are looking for a Data Engineer on a contract basis. This role involves direct communication with clients to design data structures, resolve pipeline issues, and implement code ready for deployment. Clear communication and the capacity to articulate technical choices effectively are crucial.
Must-Have Skills:
- 3+ years Databricks (Lakehouse, Delta Lake, PySpark, Spark SQL)
- 5+ years SQL
- Python
- Azure
- Excellent client-facing communication skills
- Experience deploying Databricks pipelines
- Experience provisioning Databricks as code
Nice to Have:
- Financial services or insurance background
- Knowledge of data governance frameworks
- Knowledge of data security
Contract length: 6 months rolling (long term)
Rate: Up to £550/day
If you're interested in learning more please apply here, send me a DM or email.
Data Engineer employer: Realm
Contact Detail:
Realm Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its features, especially Lakehouse and Delta Lake. Being able to discuss your hands-on experience with these tools will show that you're not just familiar with the technology but can also apply it effectively in real-world scenarios.
✨Tip Number 2
Brush up on your client-facing communication skills. Since this role involves direct interaction with clients, practice articulating technical concepts in a way that's easy for non-technical stakeholders to understand. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Tip Number 3
Prepare examples of past projects where you've successfully deployed Databricks pipelines. Be ready to discuss the challenges you faced and how you overcame them, as this will highlight your problem-solving skills and practical experience.
✨Tip Number 4
If you have any experience in the financial services or insurance sectors, make sure to mention it during your discussions. This background can set you apart from other candidates and show that you understand the specific needs and regulations of the industry.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, SQL, and Python. Emphasise your client-facing communication skills and any relevant projects that showcase your ability to design data structures and resolve pipeline issues.
Craft a Strong Cover Letter: In your cover letter, explain why you're interested in the Data Engineer role specifically within the insurance sector. Mention your experience with deploying Databricks pipelines and how you can contribute to the client's needs.
Showcase Technical Skills: Clearly outline your technical skills related to Databricks, Azure, and data governance frameworks. Use specific examples of how you've implemented code ready for deployment and resolved technical challenges in previous roles.
Prepare for Client Interaction: Since clear communication is crucial, prepare examples of past experiences where you effectively communicated technical choices to clients. This will demonstrate your ability to articulate complex concepts in an understandable way.
How to prepare for a job interview at Realm
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Databricks, SQL, and Python in detail. Highlight specific projects where you've successfully implemented these technologies, especially focusing on any challenges you faced and how you overcame them.
✨Demonstrate Client-Facing Communication
Since this role involves direct communication with clients, practice articulating your technical choices clearly and concisely. Use examples from your past experiences to illustrate how you've effectively communicated complex ideas to non-technical stakeholders.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, particularly around data pipeline issues. Think of scenarios where you've had to troubleshoot or optimise a data pipeline and be ready to explain your thought process and the outcomes.
✨Understand the Insurance Sector
While not mandatory, having knowledge of the financial services or insurance industry can set you apart. Brush up on relevant regulations, data governance frameworks, and security practices that are pertinent to the sector to demonstrate your interest and preparedness.
