Snowflake Engineer

Snowflake Data Engineer

Location: Central London office space by Mansion House/Cannon Street/Monument (EC4V)

Transform lives through data and AI

Who we are:

We deliver powerful data and AI solutions that minimise operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today’s leading technology providers - such as Databricks, Snowflake and Collibra - delivery is accelerated and revolutionary solutions are co-created. The lives of consultants, clients, and their customers are transformed through data and AI.

The Role: We are seeking a Snowflake Data Engineer to lead the design, development and deployment of cloud data platforms and analytics solutions using Snowflake. This combines hands-on engineering, solution architecture and technical leadership. You will translate business requirements into scalable Snowflake solutions, guide project teams on best practices for data modelling and ELT design, and ensure that outcomes deliver measurable value for our clients.

Key Responsibilities

• Lead technical delivery within Kubrick’s squad deployed on client project engagements, ensuring that Kubrick is recognised for the quality and scalability of its solutions
• Translate complex business and data requirements into robust Snowflake designs, including data ingestion, transformation, and consumption layers
• Design and implement secure, performant Snowflake environments including RBAC, data masking, and policies/entitlement understanding
• Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases
• Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions
• Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s internal knowledge base
• Line-manage and mentor developers within the team, supporting their professional growth and certifications (including SnowPro)
• Troubleshoot and tune query performance, storage usage, and cost efficiency across Snowflake accounts
• Act as a subject matter expert during consulting engagements, providing advice on best practices for data sharing, and integration with other technology (e.g. Databricks, Starburst, Tableau, Power BI)
• Ensure solutions meet both functional and non-functional requirements such as scalability, security, reliability and cost optimisation

Key Requirements & Technical Experience

• At least 3 years of experience in data engineering or analytics, including designing and delivering enterprise grade data solutions
• Strong hands-on experience with Snowflake (or comparable cloud data warehouses like BigQuery, RedShift, Synapse) including data modelling, performance tuning and cost management
• Familiarity with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt
• Competence in at least one programming language (Python preferred) for automation.
• Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services
• Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster
• Understanding of CI/CD principles, version control (Git) and software development lifecycle.
• Strong communication and stakeholder-management skills with the ability to influence technical and business decision makers
• Experience in delivery leadership and mentoring junior engineers
• Proven ability to troubleshoot complex data issues, optimise pipelines and ensure data quality and governance are maintained

What Kubrick offers:

A fast moving and fast growth business which is doing something seriously innovative and valuable. We already have a very supportive, diverse and appreciative client base, giving us stable foundations enabling us to keep working to high standards as we continue to grow. We also offer:

• Salary: from £60,000, negotiable dependent on experience + bonus.
• Hybrid: 2-3 days a week in the office
• 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

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 are committed to ensuring that all candidates have an equally positive experience, and equal chances for success regardless of any personal characteristics. Please speak to us if we can support you with any adjustments to our recruitment process.

We’ve proudly partnered with Women in Data for over six years, providing a community platform for our female and non-binary consultants to upskill, access mentoring opportunities, and build their professional networks. Through this partnership, we’ve also supported mission-critical pro bono projects to improve lives through data and AI, including research into women’s health and safety.