At a Glance
- Tasks: Build and optimise data lakes on Azure, creating pipelines and transforming data with Python.
- Company: Leading financial services client offering fully remote work.
- Benefits: Flexible contract, competitive pay, and the chance to work on impactful projects.
- Other info: 2-3 month contract with potential for extension and growth opportunities.
- Why this job: Join a dynamic team and enhance your skills in a cutting-edge tech environment.
- Qualifications: Experience with Azure, Databricks, and Python; financial services background preferred.
The predicted salary is between 50000 - 60000 £ per year.
One of our leading clients is looking to recruit a Data Engineer.
Location: fully remote / home based
Duration: 2-3 months plus possible extension
Outside IR35
Role / Responsibilities:
- Define and build a data lake architecture on Azure (ADLS + Databricks)
- Implement layered data model (bronze / silver / gold) for ingestion, processing, and reporting
- Develop ingestion patterns from API sources (batch and streaming)
- Establish data governance, metadata, and access controls
- Define storage structures, naming conventions, and schema design
- Develop API connectors and ingestion pipelines using Python
- Implement integration services feeding into the Databricks environment
- Build data transformation logic using PySpark / Python (data cleansing, standardisation, validation)
- Configure monitoring, logging, and alerting
- Execute unit and integration testing across pipelines
Experience:
- Azure
- Databricks
- Python
- Financial Services sector experience - Ideally Insurance / General or Life Insurance
Data Engineer Azure Databricks / Python / Insurance - Outside IR35 employer: MYO Talent
As a leading player in the financial services sector, our company offers an exceptional work environment for Data Engineers, particularly those skilled in Azure and Databricks. With a fully remote setup, we prioritise flexibility and work-life balance while fostering a culture of innovation and collaboration. Employees benefit from continuous professional development opportunities and the chance to work on impactful projects that shape the future of insurance data management.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Azure Databricks / Python / Insurance - Outside IR35
✨Tip Number 1
Network like a pro! Reach out to your connections in the financial services sector, especially those in insurance. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data lake architecture projects or any ingestion pipelines you've built. This is your chance to impress potential employers with real examples of your work.
✨Tip Number 3
Prepare for interviews by brushing up on Azure and Databricks specifics. Be ready to discuss how you've implemented layered data models or developed API connectors. Confidence in your technical knowledge can really set you apart!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Engineer Azure Databricks / Python / Insurance - Outside IR35
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure, Databricks, and Python. 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 the perfect fit for this Data Engineer role. Mention your experience in the financial services sector, especially if you’ve worked in insurance.
Showcase Your Technical Skills:When filling out your application, be specific about your technical skills. Highlight your experience with data ingestion, pipelines, and any work you've done with data lakes on Azure. We love seeing those details!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at MYO Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Azure, Databricks, and Python. Brush up on your knowledge of data lake architecture and the layered data model. Being able to discuss specific projects where you've implemented these technologies will really impress.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in data ingestion and pipeline development. Think of examples where you’ve developed API connectors or handled data transformation logic using PySpark or Python. Real-world scenarios will help demonstrate your expertise.
✨Understand the Insurance Sector
Since this role is within the financial services sector, particularly insurance, it’s crucial to understand the unique data challenges faced in this industry. Familiarise yourself with common data governance practices and compliance issues relevant to insurance data.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
