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- Tasks: Design and develop ETL pipelines using Azure for data-driven decision-making.
- Company: Global tech provider in the exciting Insurtech space.
- Benefits: Comprehensive training, certification programs, and growth opportunities.
- Why this job: Join a high-performing team and make an impact in the insurance industry.
- Qualifications: 8+ years in data engineering with strong Azure and programming skills.
- Other info: Collaborative environment with a focus on innovation and career advancement.
We are seeking a Data Engineer (Databricks) to support the growth of a global technology provider within the Insurtech space. The role focuses on designing and delivering ETL pipelines and scalable solutions using the Azure ecosystem, with an emphasis on enabling advanced analytics and data-driven decision-making. As a key player in a high-performing data engineering team, you will contribute to large-scale transformation initiatives within the P&C Insurance space by developing robust data models, optimising data flows, and ensuring the accuracy and accessibility of critical information. The position requires close collaboration with both technical and business stakeholders, and is an excellent opportunity to join a team that invests in your growth, with comprehensive training and certification programs and a real opportunity to showcase your talents.
Key Responsibilities
- Design and develop ETL pipelines using Azure Data Factory for data ingestion and transformation
- Work with Azure Data Lake, Synapse, and SQL DW to manage large volumes of data
- Develop data transformation logic using SQL, Python, and PySpark code
- Collaborate with cross-functional teams to translate business requirements into data solutions
- Create mapping documents, transformation rules, and ensure quality delivery
- Contribute to DevOps processes, CI/CD deployments, and agile delivery models
Requirements
- 8+ years' experience in data engineering, ETL development and big data solutions
- Recent experience within Insurance Technology essential
- Solid expertise with Azure Databricks, Data Factory, ADLS, Synapse, and Azure SQL
- Strong skills in SQL, Python, and PySpark
- Solid understanding of DevOps, CI/CD, and Agile methodologies
- Excellent communication and stakeholder management skills
Contact Detail:
Calibre Candidates Recruiting Team
We think you need these skills to ace Databricks Engineer - Insurance
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure Databricks and ETL pipelines. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the Insurtech space and how your background makes you a perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: Since this role requires solid expertise in SQL, Python, and PySpark, make sure to mention specific projects where you’ve used these technologies. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Calibre Candidates
✨Know Your Tech Stack
Make sure you’re well-versed in Azure Databricks, Data Factory, and the other tools mentioned in the job description. Brush up on your SQL, Python, and PySpark skills, as you might be asked to solve technical problems or discuss your past projects using these technologies.
✨Showcase Your Experience
Prepare specific examples from your 8+ years of experience in data engineering, especially within the Insurtech space. Be ready to discuss how you've designed ETL pipelines and managed large data volumes, as this will demonstrate your capability to handle the responsibilities of the role.
✨Collaboration is Key
Since the role involves working closely with both technical and business stakeholders, think of instances where you successfully collaborated with cross-functional teams. Highlight your communication skills and how you translated business requirements into effective data solutions.
✨Embrace Agile and DevOps
Familiarise yourself with Agile methodologies and DevOps processes, as they are crucial for this position. Be prepared to discuss your experience with CI/CD deployments and how you’ve contributed to agile delivery models in your previous roles.
