At a Glance
- Tasks: Build and optimise data lakes on Azure using Databricks and Python.
- Company: Leading tech client offering fully remote work.
- Benefits: Competitive daily rate, flexible working, and potential contract extension.
- Other info: Opportunity to work in the financial services sector.
- Why this job: Join a dynamic team and shape data architecture in a cutting-edge environment.
- Qualifications: Experience with Azure, Databricks, and Python is essential.
One of our leading clients is looking to recruit a Data Engineer.
Location: fully remote / home based
Duration: 2-3 months plus possible extension
Day Rate: £350-500 per day 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
Desirable: any exposure to the Financial Services sector experience (Insurance or Banking etc)
Data Engineer Azure Databricks / Python Remote employer: MYO Talent
As a fully remote employer, we offer Data Engineers the flexibility to work from anywhere while engaging in exciting projects that leverage cutting-edge technologies like Azure and Databricks. Our collaborative work culture fosters innovation and continuous learning, providing ample opportunities for professional growth and development. With competitive day rates and a focus on employee well-being, we ensure that our team members feel valued and empowered to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer Azure Databricks / Python Remote
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Azure and Databricks. 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 projects, especially those involving data lakes and ingestion pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions, particularly around Azure and Python. Practising your answers will help you feel more confident and ready to impress during those crucial conversations.
✨Tip Number 4
Don't forget to apply through our website! We have loads of opportunities that might be perfect for you. 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 Remote
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 match the job description, 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. We love seeing enthusiasm and a clear understanding of the responsibilities outlined in the job description.
Showcase Your Technical Skills:When detailing your experience, focus on specific technologies and methodologies you've used, especially around data ingestion and pipelines. We’re keen to see your hands-on experience with API connectors and data transformation logic!
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 this exciting opportunity. Don’t miss out!
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 ingestion patterns. Being able to discuss specific projects where you've implemented these technologies will really impress the interviewers.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've tackled challenges in previous roles, especially around data governance and pipeline development. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Business Context
Since experience in the Financial Services sector is desirable, do some research on how data engineering impacts insurance or banking. This will help you connect your technical skills to real-world applications, showing that you understand the bigger picture.
✨Ask Insightful Questions
Prepare a few thoughtful questions about the company’s data strategy or the specific challenges they face with their current data pipelines. This not only shows your interest but also gives you a chance to demonstrate your knowledge and curiosity about the role.
