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For Companies At a Glance
- Tasks: Design 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 strong Databricks and cloud experience required.
- Other info: Work collaboratively with diverse teams to enhance platform reliability and performance.
The predicted salary is between 43200 - 72000 £ per year.
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.
Locations
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
Network with professionals in the data engineering and platform engineering fields. Attend meetups, webinars, or conferences focused on Databricks and cloud technologies. This can help you make valuable connections and learn about job openings before they are advertised.
✨Tip Number 2
Showcase your expertise in Databricks and related technologies through personal projects or contributions to open-source initiatives. Having a portfolio that demonstrates your skills can set you apart from other candidates and provide concrete examples of your capabilities.
✨Tip Number 3
Engage with the StudySmarter community by participating in discussions or forums related to platform engineering and data solutions. This not only helps you stay updated on industry trends but also increases your visibility to potential employers looking for candidates with your skill set.
✨Tip Number 4
Prepare for technical interviews by practising common platform engineering scenarios, especially those involving Databricks, CI/CD pipelines, and cloud integrations. Familiarise yourself with problem-solving techniques and be ready to discuss your past experiences in detail.
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 scalability and security to impress the hiring team.
How to prepare for a job interview at TechYard
✨Showcase Your Technical Expertise
Be prepared to discuss your hands-on experience with Databricks, Spark, and Delta Lake. Highlight specific projects where you've implemented these technologies, focusing on the challenges you faced and how you overcame them.
✨Demonstrate Your 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 integrated these into your workflow to enhance efficiency and reliability.
✨Emphasise Collaboration Skills
This position requires working closely with data engineers and architects. Prepare examples of how you've successfully collaborated with cross-functional teams, ensuring that everyone is aligned on project goals and timelines.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills in real-time data processing and cloud security. Think about past experiences where you had to make critical decisions under pressure and be ready to share those stories.
