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- Tasks: Design data structures, resolve pipeline issues, and implement deployable code.
- Company: Realm connects talented professionals with leading clients in the insurance sector.
- Benefits: Competitive rate of up to £550/day and potential for long-term contracts.
- Why this job: Join a dynamic team, enhance your skills, and make an impact in the insurance industry.
- Qualifications: 3+ years Databricks, 5+ years SQL, Python, Azure, and excellent client communication skills.
- Other info: Contract length is 6 months rolling; ideal for those seeking flexibility.
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 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 clear and concise manner. This will help you demonstrate your ability to bridge the gap between technical and non-technical stakeholders.
✨Tip Number 3
Prepare to discuss your experience with deploying Databricks pipelines. Be ready to share specific examples of challenges you've faced and how you resolved them, as this will highlight your problem-solving skills and practical knowledge.
✨Tip Number 4
If you have any background in financial services or insurance, make sure to mention it during your discussions. This industry knowledge can set you apart from other candidates and show that you understand the specific needs and challenges of the sector.
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 Industry Context
Familiarise yourself with the insurance sector and any relevant data governance frameworks. Showing knowledge in these areas can set you apart and demonstrate your commitment to understanding the client's needs.
