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- Tasks: Engineer and maintain data platforms using Databricks for analytics and machine learning.
- Company: Join a leading consultancy focused on Data & AI innovation.
- Benefits: Enjoy competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Be part of transformative projects that make a real impact in the tech world.
- Qualifications: 7+ years in platform engineering with expertise in Databricks, Azure, and DevOps.
- Other info: Collaborate with diverse teams to enhance platform reliability and performance.
The predicted salary is between 36000 - 60000 £ per year.
Job Opportunity: Platform Engineer (Databricks Specialist)
Location: Manchester OR London | Employment Type: Full-time | Experience Level: Senior
Are you an experienced Platform Engineer with a passion for Data & AI? We’re working with a leading consultancy seeking a talented professional to help build and optimise data platforms using Databricks. In this role, you’ll play a pivotal part in designing, implementing, and maintaining robust, scalable infrastructure that powers high-impact analytics and machine learning solutions.
Key Responsibilities
- Engineer and maintain modern data platforms with a strong focus on Databricks, including Delta Lake, Apache Spark, and MLflow
- Build and optimise CI/CD pipelines, infrastructure-as-code (IaC), and cloud integrations (Azure preferred, AWS/GCP beneficial)
- Collaborate with data engineers, architects, and stakeholders to ensure platform scalability, performance, and security
- Champion best practices in platform reliability, monitoring, and cost-efficiency
- Contribute to platform automation, DevOps tooling, and environment management for development through to production
Skills & Qualifications
- 7+ years of experience in platform engineering, DevOps, or cloud infrastructure, with a focus on data platforms
- Advanced hands-on experience with Databricks, Spark, Delta Lake, and Python
- Proficient with Azure services (Data Factory, Storage, DevOps) and experience with IaC tools (Terraform, Bicep, ARM)
- Experience supporting data pipelines, machine learning workflows, and real-time data processing
- Knowledge of cloud security, networking, and governance frameworks for enterprise environments
- Strong communication skills and ability to work collaboratively across technical and non-technical teams
Why Join
- Work on impactful, transformational data & AI projects
- Opportunities for professional growth, leadership, and innovation
- Competitive salary, benefits, and flexible working arrangements
Platform Engineer employer: TechYard
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Familiarise yourself with Databricks and its ecosystem. Since this role specifically requires expertise in Databricks, spend some time exploring its features, especially Delta Lake and MLflow. Engaging with online tutorials or community forums can give you insights that will impress during discussions.
✨Tip Number 2
Showcase your experience with CI/CD pipelines and infrastructure-as-code. Prepare to discuss specific projects where you've implemented these practices, particularly using tools like Terraform or Bicep. Real-world examples will demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 3
Brush up on your knowledge of Azure services, especially those related to data engineering. Being able to articulate how you've used Azure Data Factory or other relevant services in past roles will highlight your fit for the position and your ability to contribute from day one.
✨Tip Number 4
Prepare to discuss collaboration with cross-functional teams. This role emphasises working with data engineers and architects, so think of examples where you've successfully collaborated on projects. Highlighting your communication skills and teamwork will show you're a great cultural fit for us.
We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Databricks, Spark, and Azure services. Use specific examples of projects where you've built or optimised data platforms to demonstrate your expertise.
Craft a Compelling Cover Letter: In your cover letter, express your passion for Data & AI and explain why you're excited about the opportunity to work with this consultancy. Mention how your skills align with their needs, particularly in platform reliability and automation.
Showcase Relevant Projects: If you have worked on significant projects involving CI/CD pipelines or infrastructure-as-code, be sure to include these in your application. Highlight your role and the impact of your contributions on the project's success.
Prepare for Technical Questions: Anticipate technical questions related to Databricks, cloud integrations, and DevOps practices during the interview process. Brush up on your knowledge of best practices in platform security and performance to impress the interviewers.
How to prepare for a job interview at TechYard
✨Showcase Your Databricks Expertise
Make sure to highlight your hands-on experience with Databricks, Delta Lake, and Apache Spark during the interview. Prepare specific examples of projects where you've successfully implemented these technologies, as this will demonstrate your capability and understanding of the platform.
✨Discuss CI/CD and IaC Knowledge
Be ready to discuss your experience with CI/CD pipelines and infrastructure-as-code tools like Terraform or Bicep. Share how you've built and optimised these processes in previous roles, as this is crucial for the position.
✨Emphasise Collaboration Skills
Since the role involves working closely with data engineers and stakeholders, be prepared to talk about your collaborative experiences. Highlight instances where you successfully worked with cross-functional teams to achieve project goals.
✨Prepare for Technical Questions
Expect technical questions related to cloud services, particularly Azure, and data processing workflows. Brush up on your knowledge of cloud security and governance frameworks, as these are important aspects of the role that interviewers will likely focus on.
