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For Companies At a Glance
- Tasks: Design data structures, resolve pipeline issues, and implement deployable code.
- Company: Realm connects talented professionals with leading clients in the insurance sector.
- Benefits: Enjoy a competitive rate of up to £550/day on a long-term contract.
- Why this job: Join a dynamic team and enhance your skills in a growing industry.
- Qualifications: 3+ years Databricks experience and strong SQL, Python, and Azure skills required.
- Other info: Clear communication is key; client-facing experience is essential.
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 jgriffin@realmgroup.io
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 knowledgeable but also practical in your approach.
✨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.
✨Tip Number 3
Prepare examples of how you've resolved pipeline issues in the past. Being able to share specific scenarios where you successfully tackled challenges will demonstrate your problem-solving abilities.
✨Tip Number 4
If you have experience in the financial services or insurance sectors, be ready to highlight that. Even if it's not a must-have, it can set you apart from other candidates and show your understanding 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. Include specific projects where you've designed data structures or resolved pipeline issues, as this will demonstrate your relevant skills.
Craft a Strong Cover Letter: In your cover letter, emphasise your client-facing communication skills and provide examples of how you've effectively articulated technical choices in previous roles. This is crucial for the position.
Showcase Relevant Experience: If you have experience in the financial services or insurance sectors, be sure to mention it. Highlight any knowledge of data governance frameworks or data security practices, as these are nice-to-have skills that could set you apart.
Proofread Your Application: Before submitting, carefully proofread your application for any errors or typos. A polished application reflects your attention to detail, which is important for a Data Engineer role.
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 in a client-facing role.
✨Communicate Clearly
Since clear communication is crucial for this role, practice explaining complex technical concepts in simple terms. This will demonstrate your ability to articulate technical choices effectively to clients.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills, particularly around data pipeline issues. Think of examples from your past work where you resolved similar challenges and be ready to discuss your thought process.
✨Understand the Insurance Sector
While not mandatory, having knowledge of the financial services or insurance industry can set you apart. Familiarise yourself with common data governance frameworks and security practices relevant to this sector.
