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For Companies At a Glance
- Tasks: Design and develop secure, scalable data platforms using cutting-edge technologies.
- Company: Join a forward-thinking firm focused on data innovation and compliance.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by building robust data solutions that drive business success.
- Qualifications: Experience with Databricks, Python, and cloud services is essential.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 43200 - 72000 £ per year.
The Data Platform Engineer designs, develops, automates, and maintains secure, scalable, and compliant data platforms that enable the firm to efficiently manage, analyse, and utilise data. The role ensures that data solutions are robust and reliable while meeting regulatory obligations and safeguarding client confidentiality.
Key Responsibilities
- Design and architect scalable, secure, and compliant data platforms and solutions, producing technical documentation and securing approvals through governance bodies such as Architecture Review Boards.
- Build and deliver robust data solutions using Databricks, PySpark, Spark SQL, Azure Data Factory, and Azure services.
- Develop APIs and write efficient Python, PySpark, and SQL code to support data integration, processing, and automation.
- Implement and manage CI/CD pipelines and automated deployments using Azure DevOps to enable reliable releases across environments.
- Develop and maintain infrastructure-as-code (e.g., Terraform, ARM) to provision and manage cloud resources, including ADF pipelines, Databricks assets, and Unity Catalog components.
- Monitor, troubleshoot, and optimise data platform performance, reliability, and costs, identifying bottlenecks and recommending improvements.
Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse in London employer: Nexere Consulting Limited
Contact Detail:
Nexere Consulting Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with Databricks, Terraform, and Azure Data Factory. It’s a great way to demonstrate what you can do beyond the written application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common questions and scenarios related to data platforms and be ready to discuss your past experiences.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who take the initiative to connect directly with us. It shows you're genuinely interested in joining the team.
We think you need these skills to ace Lead Data Platform Engineer - Databricks - IAC - Terraform - Azure Data Factory - Data Lakehouse in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Terraform, and Azure Data Factory. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and how your background makes you the perfect fit for our team. Keep it engaging and personal!
Showcase Your Technical Skills: When filling out your application, be specific about your technical expertise. Mention your experience with Python, PySpark, and CI/CD pipelines. We love seeing candidates who can back up their claims with solid examples.
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 don’t miss any important updates from our team!
How to prepare for a job interview at Nexere Consulting Limited
✨Know Your Tech Stack
Make sure you’re well-versed in Databricks, Terraform, and Azure Data Factory. Brush up on your knowledge of data lakehouses and how they function. Being able to discuss specific projects where you've used these technologies will show your expertise.
✨Showcase Your Problem-Solving Skills
Prepare to discuss challenges you've faced in previous roles, especially around data platform performance and reliability. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight how you optimised solutions.
✨Understand CI/CD Pipelines
Since the role involves implementing CI/CD pipelines, be ready to explain your experience with Azure DevOps. Talk about how you’ve automated deployments and any specific tools or processes you’ve used to ensure reliable releases.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about their data governance practices or how they handle scalability challenges. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.