At a Glance
- Tasks: Design and optimise a cutting-edge Databricks data platform for analytics and AI.
- Company: Join a forward-thinking tech company in Surrey and Greater London.
- Benefits: Enjoy hybrid working, 25 days annual leave, and professional development opportunities.
- Other info: Flexible working hours and access to lifestyle benefits like gym memberships.
- Why this job: Make a real impact on modern cloud data solutions while advancing your career.
- Qualifications: Experience with Databricks, Apache Spark, Python, and SQL is essential.
The predicted salary is between 63000 - 77000 £ per year.
Our client is seeking a Senior Platform Engineer to join its technology and data engineering team in a permanent hybrid role across Surrey and Greater London. This is a hands-on opportunity to help develop and optimise a Databricks data platform that supports analytics, machine learning and artificial intelligence across the business.
Key Responsibilities:
- Design, build and enhance a secure, scalable and reliable Databricks platform
- Develop and maintain batch and real-time data pipelines using Databricks, Apache Spark and Delta Lake
- Contribute to platform architecture, engineering standards and best practices across the data estate
- Work with Product, Analytics and Data Science teams to deliver effective data platform solutions
- Support platform operations, monitoring, performance optimisation and reliability
- Apply Infrastructure as Code principles to support consistent and efficient platform management
- Share technical knowledge and contribute to continuous improvement across the engineering team
Job Requirements:
- Significant experience building and supporting scalable, production-grade data platforms
- Strong hands-on expertise with Databricks, Apache Spark, Delta Lake, Python and SQL
- Good understanding of cloud-based data engineering, ideally within Microsoft Azure environments
- Experience with Infrastructure as Code tools such as Terraform, Bicep or similar
- Understanding of data modelling, ETL and ELT processes, data quality, security and governance
- Ability to collaborate effectively with technical and non-technical stakeholders
- Experience with Unity Catalog, MLflow or Databricks Asset Bundles would be advantageous
- Knowledge of dbt, Kafka, Event Hubs or other data transformation and streaming technologies would be beneficial
Desirable Experience:
- Databricks certifications
- Experience working with retail or consumer packaged goods data, including point-of-sale, inventory or supply chain datasets
- Understanding of modern data platform architecture and cloud engineering practices
- A degree in Computer Science, Data Engineering or a related discipline, or equivalent practical experience
Benefits:
- Hybrid working, typically with two days in the office, alongside a work-from-anywhere policy
- 25 days Annual leave allowance, bank holidays and an additional day off for a birthday
- Summer working hours and flexible working arrangements
- Access to learning platforms, professional development courses and structured career progression
- Private medical insurance, healthcare support and mental health services
- Home workspace assessment to support a safe and productive working environment
- Paid volunteering days and opportunities to support charitable causes
- Access to car purchase, gym, technology and other lifestyle benefits
If you are an experienced Platform Engineer with strong Databricks and data platform engineering expertise, this is an excellent opportunity to contribute to modern cloud data solutions at scale. Salary is negotiable but in the region of £80,000 plus bonus and other benefits.
Platform Engineer employer: Artificial Intelligence Jobs
Join one of the UK's fastest-growing consumer fintechs as the Head of Data Science, where you'll have the unique opportunity to build and lead a data science function from the ground up. With a strong emphasis on employee growth, the company offers genuine career acceleration, a personal L&D budget, and an impressive benefits package including stock options and flexible holiday arrangements. Located in Central London, this hybrid role fosters a collaborative work culture that values innovation and data-driven decision-making, making it an excellent employer for those looking to make a significant impact.
Contact Details:
Artificial Intelligence Jobs Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Platform Engineer
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We think you need these skills to ace Platform Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Artificial Intelligence Jobs.
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How to prepare for a job interview at Artificial Intelligence Jobs
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Artificial Intelligence Jobs uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
