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For Companies At a Glance
- Tasks: Own the Azure/Databricks data platform, from architecture to governance and ML enablement.
- Company: Established financial services firm known for innovative solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by delivering trusted data and models in a dynamic environment.
- Qualifications: Experience in data engineering, Azure, and strong analytical skills.
- Other info: Join a medium-sized firm with a collaborative culture and excellent career advancement potential.
The predicted salary is between 48000 - 72000 £ per year.
This is an exciting opportunity for a Senior Data Engineer to own the Azure/Databricks data AI platform end-to-end from architecture and pipelines to governance, data quality, observability, ML enablement so the business gets trusted, timely, and cost-efficient data and models.
Client Details
The organisation is a well established entity within the financial services industry. It operates as a medium-sized firm and focuses on providing reliable and innovative solutions to its clients.
Description
- Develop and oversee Azure-based solutions to support analytics functions.
- Design and evolve the Azure/Databricks modern data platform architecture.
- Build, optimise and maintain scalable ETL/ELT pipelines and data models.
- Implement data governance, lineage and cataloguing using Purview/Unity Catalog.
- Establish data quality frameworks, monitoring and observability across pipelines.
- Manage orchestration, platform operations and ITIL-aligned incident/change processes.
- Ensure strong data security, access controls and regulatory compliance.
- Support and enable machine learning and AI solutions within Databricks.
- Monitor and optimise cloud and compute costs using Azure FinOps tooling.
- Provide guidance and mentorship to the analytics team.
Senior Data engineer - Databricks in Hampshire employer: Michael Page Technology
Contact Detail:
Michael Page Technology Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data engineer - Databricks in Hampshire
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Azure or 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 related to data engineering, especially those involving Azure and Databricks. 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 scenarios. Be ready to discuss how you've tackled challenges in building ETL pipelines or ensuring data quality. We want to hear your success stories!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and take the initiative to connect directly with us.
We think you need these skills to ace Senior Data engineer - Databricks in Hampshire
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with Azure and Databricks, and don’t forget to showcase any relevant projects that demonstrate your skills in building and optimising ETL/ELT pipelines.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background aligns with our mission at StudySmarter. Be specific about your experience with data governance and ML enablement.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles. Whether it’s optimising cloud costs or ensuring data quality, we want to see how you approach problems and find solutions.
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 shows you’re keen on joining our team!
How to prepare for a job interview at Michael Page Technology
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure and Databricks. Brush up on your knowledge of ETL/ELT processes, data governance, and machine learning enablement. Be ready to discuss specific projects where you've implemented these technologies.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled challenges in data architecture or pipeline optimisation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Understand the Business Context
Research the financial services industry and understand how data plays a role in decision-making. Be prepared to discuss how your work can contribute to providing reliable and innovative solutions for clients.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.