Data Platform Engineer
Data Platform Engineer

Data Platform Engineer

Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Design and engineer a robust, scalable Data Platform using Azure and AI services.
  • Company: Join a leading tech firm focused on innovative data solutions.
  • Benefits: Competitive pay, hybrid work model, and opportunities for professional growth.
  • Why this job: Be at the forefront of technology, shaping the future of data platforms.
  • Qualifications: Experience with Azure Data Platforms and strong technical skills in IaC and Terraform.
  • Other info: Fast-paced environment with excellent career advancement potential.

The predicted salary is between 36000 - 60000 £ per year.

We are currently working with a client who urgently requires a Platform Engineer with strong knowledge of Data to play a pivotal role in designing and engineering a robust, scalable Data Platform, with a strong focus on Azure and AI services. This is a hands-on role requiring deep technical expertise, resilience, and the ability to thrive in a fast-paced, complex environment.

Key Requirements:

  • Proven experience as a Platform Engineer, within large, complex organisations
  • Focus on Azure-based Data Platforms
  • Strong hands-on experience with Azure Data Factory (ADF), Azure AI, Data Lake, Cognitive Services and OpenAI
  • Proven ability to deploy Azure services and Infrastructure as Code (IaC)
  • Deep knowledge of Terraform, automation and Infrastructure as Code (IaC)
  • Strong working knowledge of Snowflake engineering and operations
  • Solid understanding of security, networking, identity management and access control (automated via Terraform)
  • Good awareness of the DevOps approach
  • Excellent communication skills and stakeholder engagement

Nice to have:

  • Immediate availability
  • Background in Infrastructure to understand concepts such as Networking, Firewalls and Security
  • Previous experience of deploying Virtual Machines, Data Lakes, Data vaults
  • Some exposure to GCP and its AI capabilities
  • Scripting knowledge of Powershell / Bash / Python
  • Awareness of operational challenges

If you’re interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn’t quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Data Platform Engineer employer: Hays

Join a forward-thinking company that values innovation and technical expertise, offering a dynamic work culture where collaboration and creativity thrive. As a Data Platform Engineer in London, you'll benefit from a hybrid working model, competitive remuneration, and ample opportunities for professional growth in a rapidly evolving field. With a focus on cutting-edge technologies like Azure and AI, this role provides a unique chance to make a significant impact while enjoying a supportive environment that encourages continuous learning.
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Contact Detail:

Hays Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Data Platform Engineer

✨Tip Number 1

Network like a pro! Reach out to your connections in the industry, especially those who work with Azure and data platforms. 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 or GitHub repository showcasing your projects related to Azure, Terraform, and AI. This gives potential employers a tangible look at what you can do, making you stand out from the crowd.

✨Tip Number 3

Prepare for interviews by brushing up on common technical questions related to data platforms and Azure services. We recommend practising with a friend or using mock interview platforms to build your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always here to help you navigate the process and find the perfect fit for your skills.

We think you need these skills to ace Data Platform Engineer

Azure Data Factory (ADF)
Azure AI
Data Lake
Cognitive Services
OpenAI
Infrastructure as Code (IaC)
Terraform
Snowflake engineering and operations
Security management
Networking
Identity management
Access control
DevOps approach
Communication skills
Stakeholder engagement
Scripting knowledge (Powershell, Bash, Python)

Some tips for your application 🫡

Tailor Your CV: Make sure your CV is tailored to the role of a Data Platform Engineer. Highlight your experience with Azure, Terraform, and any relevant projects that showcase your skills in building scalable data platforms.

Showcase Your Technical Skills: Don’t just list your skills; demonstrate them! Use specific examples from your past work where you’ve successfully deployed Azure services or implemented Infrastructure as Code. This will help us see your hands-on experience.

Engage with the Job Description: Read the job description carefully and make sure to address the key requirements in your application. Use similar language to show that you understand what we’re looking for and how you fit into the picture.

Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!

How to prepare for a job interview at Hays

✨Know Your Tech Inside Out

Make sure you brush up on your knowledge of Azure Data Platforms, especially Azure Data Factory and Terraform. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.

✨Showcase Your Problem-Solving Skills

Prepare to share examples of how you've tackled complex issues in previous roles. Think about scenarios where you had to deploy Azure services or automate processes with IaC. This will demonstrate your resilience and ability to thrive in fast-paced environments.

✨Communicate Clearly and Confidently

Strong communication skills are key for this role. Practice explaining technical concepts in a way that non-technical stakeholders can understand. This will show that you can engage effectively with different teams and clients.

✨Be Ready for Scenario-Based Questions

Expect questions that put you in hypothetical situations related to security, networking, and identity management. Prepare by thinking through how you would approach these challenges using your technical expertise and the tools at your disposal.

Data Platform Engineer
Hays

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