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- Tasks: Design and maintain data platforms using Databricks for analytics and machine learning.
- Company: Join a leading consultancy at the forefront of 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 advanced skills in Databricks and cloud services.
- Other info: Collaborate with diverse teams and champion best practices in a dynamic environment.
The predicted salary is between 48000 - 84000 £ per year.
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.
- 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.
- Work on impactful, transformational data & AI projects.
- Opportunities for professional growth, leadership, and innovation.
- Competitive salary, benefits, and flexible working arrangements.
Contact Detail:
TechYard Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer
✨Tip Number 1
Network with professionals in the data engineering and platform engineering fields. Attend meetups, webinars, or conferences focused on Databricks and cloud technologies to connect with potential colleagues and learn about industry trends.
✨Tip Number 2
Showcase your hands-on experience with Databricks and related technologies by contributing to open-source projects or creating your own projects. This not only demonstrates your skills but also gives you practical examples to discuss during interviews.
✨Tip Number 3
Familiarise yourself with the specific tools and practices mentioned in the job description, such as CI/CD pipelines and infrastructure-as-code. Being able to speak confidently about these topics will set you apart from other candidates.
✨Tip Number 4
Prepare for technical interviews by practising common platform engineering scenarios and problems. Focus on how you would approach building and optimising data platforms, as well as your understanding of cloud security and governance frameworks.
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, Apache Spark, and cloud services like Azure. 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. Be prepared to discuss specific projects where you've successfully implemented these technologies and how they contributed to the overall success of the data platform.
✨Demonstrate CI/CD Knowledge
Since the role involves building and optimising CI/CD pipelines, be ready to explain your experience with infrastructure-as-code tools like Terraform or Bicep. Discuss how you've automated deployment processes and improved efficiency in previous roles.
✨Emphasise Collaboration Skills
This position requires working closely with data engineers and stakeholders. Prepare examples that showcase your ability to collaborate effectively across teams, especially in technical and non-technical contexts. Highlight any successful projects that resulted from strong teamwork.
✨Discuss Best Practices
Be ready to talk about best practices in platform reliability, monitoring, and cost-efficiency. Share your insights on how you’ve implemented these practices in past roles and the impact they had on the performance and scalability of the platforms you worked on.
