Kubrick

The opportunity We are seeking a skilled and experienced Platform Engineer to join our growing platform engineering team. The successful applicant will have a strong background in building and/or deploying data platforms across a range of technology stacks that will include Databricks on at least one of MS Azure, AWS and GCP using Infrastructure as Code and modern DevOps processes. The role will require experience of integrating data ingestion frameworks/tooling and orchestration technologies to facilitate data transfer between source systems and a target platform. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. We work with organizations across industries including financial services, healthcare, retail, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing Lead technical delivery of a Kubrick team deployed on client project engagements, ensuring that Kubrick is known for the quality of the technical solutions it provides. Work with Kubrick & client staff of other disciplines to understand and assess requirements, support solution design activities and inform delivery planning. Seek, build, and maintain effective client relationships contributing to Kubrick's commercial priorities and supporting our partnering approach to working with clients. Participating in self directed or group learning and upskilling (gaining Kubrick funded certifications) to ensure your technical skills stay up to date and industry relevant. What we're looking for Experience designing and implementing cloud native solutions on at least one of AWS, Azure or Google Cloud (experience with a second is desirable). Implementation experience deploying cloud resources and workloads to a major hyperscaler (Azure, AWS or GCP) across more than one project. Experience deploying at least one greenfield project through to Production. Solid Terraform development skills, including writing reusable, modular code. You should be comfortable setting up and configuring a Terraform development environment and the associated providers, including authentication. Experience configuring and running Terraform PR and CI/CD pipelines using DevOps tooling such as GitHub Actions or Azure DevOps, applying DevOps best practice (source control, Infrastructure as Code, CI/CD). Comfortable with core cloud/software networking concepts, with hands on experience building or maintaining networking components in your environments. Experience with Cloud Identity and Access Management, including configuring identities and permissions in at least one major hyperscaler. You should be able to explain the differences between common authentication mechanisms and identity types. Good working knowledge of security concepts such as encryption and secret management, and familiarity with concepts like Principle of Least Privilege and Segregation of Duties. Working knowledge of monitoring, logging and observability patterns in cloud environments, and able to articulate their benefits. Strong analytical and troubleshooting skills for diagnosing and resolving infrastructure and platform issues. Ability to work with stakeholders or clients to translate requirements into technical solutions. Desirable Experience across two or more of AWS, Azure and GCP. Experience working in or leading teams maintaining Production environments in enterprise settings with established, comprehensive change control processes. Experience with automated testing of infrastructure, including recommended approaches for testing Terraform changes. Familiarity with Zero Trust Architecture and the ability to advise customers on the relative pros and cons of different identity/security approaches. Hands on experience deploying modern data platforms and data ingestion capabilities (e.g., Databricks or Snowflake). Experience in delivery leadership, including leading small delivery teams. Benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health support through Enhanced paid family leave Additional family leave support, including fertility treatment leave and dependent care leave Financial wellbeing support Cycle to Work scheme Specsavers eye care vouchers Flexible working options Internal mobility and career development opportunities Recognition and reward programs Learning and development opportunities, including professional certifications Employee Assistance Program (EAP) Mental health, diversity and inclusion support We operate a hybrid working model, with employees typically spending 2-3 days per week in our London office alongside client meetings and remote working. Diversity & inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.

Kubrick is seeking a skilled Platform Engineer to join their team in London. The successful candidate will have a strong background in building data platforms using AWS, Azure, or GCP, coupled with Terraform skills. You will lead technical deliveries and collaborate with team members to ensure high-quality solutions for clients. This role offers a hybrid working model, competitive benefits, and a commitment to diversity and inclusion. Join a team where you can continuously learn and grow your career in data and AI solutions.

The opportunity Join Kubrick as Senior Manager Databricks Engineer: lead end-to-end data/ML platforms, mentor teams, and partner with clients to deliver real impact in an inclusive, collaborative setting. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. Our clients span a wide range of industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing In this role, you will: Lead the end-to-end delivery of Databricks-based data and ML platforms Work closely with clients, internal stakeholders and Databricks Professional Services teams Provide technical leadership across delivery squads, helping set the standard for engineering excellence Translate business challenges into robust, scalable technical solutions Mentor, line manage and develop engineers across the wider capability Contribute to knowledge sharing, capability development and technical best practice within our Databricks Centre of Excellence Support the continued growth of Kubrick's Databricks capability across clients and industries What we're looking for We're looking for curious, collaborative people who enjoy solving complex challenges, sharing knowledge and continuing to grow in a fast-evolving space. You'll bring: Strong experience delivering solutions on Databricks Cloud experience across AWS, Azure or GCP Advanced Python and SQL skills Experience leading technical delivery teams within enterprise environments The ability to influence both technical and business stakeholders Experience mentoring engineers and driving engineering best practice A mindset focused on quality, impact and continuous improvement Your development at Kubrick Alongside hands on client exposure, you'll have opportunities to continue growing your technical expertise, leadership capability, and industry profile through: 20 dedicated development days each year Fully funded certifications across Databricks, Azure, AWS and more, plus leadership and capability development programmes Access to our Centre of Excellence networks, led by experienced technical specialists with deep expertise across data and AI Opportunities to build your brand through thought leadership Access to technical communities, events and opportunities to build your network across the wider Databricks ecosystem We invest heavily in helping our people continue developing their expertise so they can grow, lead and make a real impact. Additional benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health support through Enhanced paid family leave Additional family leave support, including fertility treatment leave and dependent care leave Financial wellbeing support Cycle to Work scheme Specsavers eye care vouchers Flexible working options Internal mobility and career development opportunities Recognition and reward programs Learning and development opportunities, including professional certifications Employee Assistance Program (EAP) Mental health, diversity and inclusion support Diversity and inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.

Kubrick is looking for a Databricks Manager to deliver scalable cloud-native data platforms for enterprise clients. This role requires hands-on technical leadership and collaboration with clients and internal teams to solve complex challenges while optimizing engineering best practices. The ideal candidate will have deep experience with Databricks, Spark, and cloud services such as AWS, Azure, or GCP. You will also mentor teams and contribute to Kubrick's growing capabilities in data solutions.

The opportunity We're looking for a Databricks Manager to help deliver enterprise-scale data platforms while contributing to the continued growth of our Databricks Centre of Excellence. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. Our clients span a wide range of industries, including Financial Services, Public Sector, Retail, Energy, Healthcare, Aviation, and more, and we are partnered with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing We're looking for a Databricks Manager to join our team and deliver scalable cloud native data platforms for enterprise clients while helping strengthen Kubrick's growing Databricks capability. This is a hands on technical leadership role where you'll combine deep engineering expertise with client collaboration, delivery leadership, and mentorship across delivery teams. Working closely with clients, internal stakeholders and Databricks Professional Services, you'll help solve complex technical challenges while supporting engineering best practice across delivery squads. You will: Design, build and optimise cloud native data platforms using Databricks, Spark and Delta Lake Lead technical delivery across client engagements, often alongside Databricks Professional Services Build and optimise scalable ETL/ELT pipelines using Python, SQL and CI/CD best practices Translate business problems into robust, production grade data solutions Provide technical leadership and mentorship across delivery squads Contribute to knowledge sharing, capability development and technical best practice within our Databricks Centre of Excellence Support the continued growth of Kubrick's Databricks capability across clients and industries What we're looking for: We're looking for curious, collaborative people who enjoy solving complex challenges, sharing knowledge and continuing to grow in a fast evolving space. You'll bring: Strong experience with Databricks and Apache Spark Cloud expertise across AWS, Azure or GCP Advanced Python and SQL skills Experience with CI/CD, automated testing and data governance Experience leading technical delivery within enterprise environments Confidence working directly with clients and technical stakeholders A mindset focused on quality, impact and continuous improvement Your development at Kubrick: Alongside hands on client exposure, you'll have opportunities to continue growing your technical expertise, leadership capability, and industry profile through: 20 dedicated development days each year Fully funded certifications across Databricks, Azure, AWS and more Close collaboration with our Databricks Centre of Excellence, led by experienced technical specialists with deep expertise across data and AI Mentoring through our Centre of Excellence Ongoing collaboration with senior technical leaders. Access to technical communities, events and opportunities to build your network across the wider Databricks ecosystem. Leadership and capability development programmes Additional benefits Alongside continued investment in your technical and professional development, you'll also have access to a range of benefits designed to support your wellbeing, flexibility and life outside of work, including: 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health support through Enhanced paid family leave Additional family leave support, including fertility treatment leave and dependent care leave Financial wellbeing support Cycle to Work scheme Specsavers eye care vouchers Flexible working options Internal mobility and career development opportunities Recognition and reward programs Learning and development opportunities, including professional certifications Employee Assistance Program (EAP) Mental health, diversity and inclusion support Diversity and inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.

Kubrick is seeking a Pre Sales Solution Architect to drive revenue through Solutions Design in Pre Sales activities. This central role is crucial for delivering market-leading solutions. The ideal candidate will have proven expertise in presales solution architecture within the Microsoft Azure stack and strong commercial awareness. The role involves technical shaping of deals and collaborating with various teams to ensure focused pre-sales efforts on high-value opportunities. Join us to be part of an award-winning consultancy committed to building diverse teams.

The opportunity We're looking for a Pre Sales Solution Architect to drive revenue impact through Solutions Design supporting the commercial team in Pre Sales activity with prospective clients. This role is central to our mission, and you'll play a key part in helping to deliver market leading, outcome based solutions for our clients. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. We work with organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing The Pre Sales Solution Architect (PSA) is a senior, outcome driven role within Kubrick's Consulting Practices, accountable for revenue impact, win rate improvement, solution quality, and partner led growth through high quality presales execution. The role owns the technical shaping of deals across direct and partner led motions, translating client problems into delivery ready, commercially sound architectures across data, cloud, and AI. Success is measured not by activity alone, but by pipeline influenced, revenue booked, win rate uplift, cycle time reduction, and reusable solution assets created, in line with Kubrick's Presales KPI framework. The PSA works closely with sales, partners, and delivery teams to ensure that presales effort is focused on the highest value opportunities, produces repeatable IP, and ultimately scales Kubrick's business. What we're looking for Essential Proven expertise in presales solution architecture within the Microsoft Azure stack, specifically in Copilot Studio and Foundry. This is a MUST HAVE Strong commercial awareness: understands how solution design affects win rate, margin, and delivery risk. Deep architectural capability across hyperscalers, modern data platforms, and AI use cases. Excellent communicator, able to influence Sales, Partners, Delivery, and C suite clients. Comfortable being measured on commercial outcomes, not just activity. Desirable Experience with Databricks, Snowflake, and partner co sell motions. Exposure to GenAI or agentic system architectures. Track record of creating reusable presales IP or solution assets. We don't expect you to tick every box. If you're excited about the role and believe you have the potential to succeed, we'd still love to hear from you. Salary £100,000 - £130,000 base salary + 40% Commission Benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health support through Enhanced paid family leave Additional family leave support, including fertility treatment leave and dependent care leave Financial wellbeing support Cycle to Work scheme Specsavers eye care vouchers Flexible working options Internal mobility and career development opportunities Recognition and reward programs Learning and development opportunities, including professional certifications Employee Assistance Program (EAP) Mental health, diversity and inclusion support Diversity & Inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.

Kubrick is seeking an AI Systems Architect located in Greater London. In this role, you will lead the design and delivery of agentic systems while mentoring teams to drive outcomes for major clients. You will also support solution design and collaborate with partner teams, helping establish Kubrick as a thought leader in this innovative space. Strong knowledge in AI systems, coding skills, and the ability to inspire others will be essential for success.

The opportunity We're looking for an AI Systems Architect who will lead agentic systems design, mentor teams, and drive real outcomes for leading clients. About Kubrick Kubrick is an award-winning consultancy that helps organizations design, build and scale data and AI solutions that deliver lasting impact. We work with organizations across industries including financial services, healthcare, retail, energy, aviation, and the public sector, and partner with leading technology providers such as Microsoft, Snowflake, Databricks, and Collibra. What sets us apart is how we build capabilities and careers. Through continuous learning, real-world experience, and a collaborative culture, we help our people develop the skills, confidence, and experience to build rewarding careers. What you'll be doing As an AI Systems Architect you will join our Core Engineering Practice to act as the technical authority of an emerging specialism in designing and delivering AI systems, as well as developing internal IP and establishing Kubrick as a thought leader in this fast-moving space. You will support the Platform Engineering Capability Lead in incubating this specialism with a view to establishing it as a Core Capability and be an advocate for agentic systems more broadly within the business to ensure their potential and commercial applications are well understood. The AI Systems Architect will be Kubrick's subject matter expert for agentic systems and provide support and guidance to junior team members as necessary to ensure they are successful on their client engagements. Key to the role will be supporting our Solution Leads and client team in solution design and pre sales activities, in addition to working with our partner team to build credibility in relation to agentic systems development with partners. What we're looking for Strong understanding of agentic AI systems including LLM orchestration, tool use, memory patterns, planning and reasoning loops, and multi agent coordination Proven experience in designing and developing agentic systems for production environments, including autonomous agents, multi agent coordination, and decision making frameworks. Detailed knowledge of the Software Development Lifecycle & best practices Familiarity with agentic platforms and frameworks (Foundry, LangChain, AutoGen, CrewAI, or custom orchestration stacks) Systems Thinking: Ability to architect complex, distributed systems that integrate AI components with enterprise data platforms and APIs, ensuring compliance with scalability, reliability, security, cost and ethical AI design considerations Ability to code in Python and (Desirable) utilise Infrastructure as Code to deploy cloud based infrastructure (Desirable) Proven experience developing and deploying MS Copilot Agents as part of the delivery of business facing solutions Demonstrable experience providing technical leadership for engineering teams on AI oriented projects, ideally in a consultancy environment Ability to communicate technical concepts to non technical audiences and influence decision making at senior levels Strong understanding of regulatory, ethical, accuracy and security considerations for developing autonomous agentic systems (Desirable): Degree, Masters or Doctorate in Software Engineering, Computer Science or ML/AI related subject We don't expect you to tick every box. If you're excited about the role and believe you have the potential to succeed, we'd still love to hear from you. Benefits 33 days annual leave (25 days annual leave plus 8 public holidays) Pension matching up to 5% Unlimited mental health support through Enhanced paid family leave Additional family leave support, including fertility treatment leave and dependent care leave Financial wellbeing support Cycle to Work scheme Specsavers eye care vouchers Flexible working options Internal mobility and career development opportunities Recognition and reward programs Learning and development opportunities, including professional certifications Employee Assistance Program (EAP) Mental health, diversity and inclusion support Diversity & inclusion We're committed to building a more diverse and inclusive tech industry and encourage applications from people currently underrepresented in data and AI, including women, people from underrepresented racial and ethnic backgrounds, LGBTQ+ people, people with disabilities, and people who are neurodivergent. If you need any adjustments during the recruitment process, just let us know. We're here to support you.