Senior Platform Engineer

Transform lives through data and AI

Who we are:

We deliver powerful data and AI solutions that minimize operational cost, strengthen resilience against risk, and uncover revenue opportunity. Our clients can retain our people to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, we’ve created over 3,000 data & AI specialists by removing the systemic barriers to the tech industry. We find incredible minds from all backgrounds to train with us, creating a diverse team of experts. We’re the preferred partner of today’s leading technology providers, including Databricks, Snowflake, and Collibra, to accelerate delivery and co-create revolutionary solutions. We transform the lives of our consultants, clients, and their customers through data and AI.

The Role:

We're hiring a Senior Platform Engineer to join its Advanced team. The role involves designing and developing cloud-native data platforms using Databricks on Azure, AWS, or GCP, leveraging Infrastructure as Code and DevOps practices. Candidates should have experience in data ingestion, orchestration tools, and preferably data mesh architectures. The position requires strong knowledge of cloud networking, security, application hosting and IAM. Beyond technical responsibilities, the engineer will lead delivery squads, provide guidance, and ensure alignment between technical solutions and client needs.

Responsibilities:

• Lead the technical delivery of cloud-native data platforms using AWS, Azure, or GCP
• Architect and implement scalable solutions with tools like Databricks and Snowflake
• Integrate ingestion/orchestration frameworks across a variety of client environments
• Provide hands-on mentorship, line management, and technical guidance to delivery teams
• Collaborate directly with clients and stakeholders to translate business goals into technical outcomes
• Contribute to Kubrick’s internal innovation culture and shape our future delivery capabilities

Personal Specification:

• Must be able to demonstrate significant experience deploying cloud-native solutions across at least two of: AWS, Azure, GCP
• Expertise in Databricks, Snowflake, and modern DevOps practices (IaC, CI/CD)
• Strong solution architecture skills, with the ability to communicate technical ideas clearly to business stakeholders
• Experience in technical leadership and/or line management
• Exposure to data mesh architectures (bonus!)
• A passion for building better platforms - and better teams!

What Kubrick offers:

We’re a dynamic, rapidly growing business doing truly innovative and valuable work. Backed by a loyal, diverse and supportive client base, we have a strong foundation that allows us to maintain high standards as we scale. We also offer:

• A competitive salary & bonus
• Friendly and collaborative working environment
• Access to upskilling opportunities and clear progression path
• 25 days of annual leave
• Highstreet discounts and Wellness Hub with confidential well-being and mental health support
• Cycle to work scheme & eye-care vouchers
• Central London office space by Mansion House (EC4V) with a hybrid working environment (usually 2 days a week in the office)

Our commitment to Diversity, Equity and Inclusion (DEI):

At Kubrick, we not only strive to bridge the skills-gap in data and technology, but we are also committed to playing a key role in improving diversity in the industry. To that effect, we welcome candidates from all backgrounds, and particularly encourage applications from groups currently underrepresented in the industry, including women, people from black and ethnic minority backgrounds, LGBTQ+ people, people with disability and those who are neurodivergent.

We know that potential applicants are sometimes put off if they don’t meet 100% of the requirements. We think individual experience, skills and passion make all the difference, so if you meet a good proportion of the criteria, we’d love to hear from you.