Senior Data Engineer

Location: Hybrid: London (Mansion House) 2 days in the office

Job Description/ Summary

Transform lives through data and AI

Who we are:

We deliver powerful data and AI solutions that minimize 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. Incredible minds from all backgrounds are trained to become part of a diverse team of experts.

The Role:

We are seeking a highly skilled and experienced Senior Data Engineer to join our growing community of Snowflake developers. A successful applicant will have a strong background in delivering scalable, cloud-based data solutions, particularly within the Snowflake platform. Additionally, they will have extensive experience in designing, building, and optimising data pipelines, models and architectures, leveraging technologies such as Apache Spark, Dataframes, and cloud platforms like AWS, Azure, or GCP. Advanced proficiency in Python and SQL is essential, along with experience in integrating CI/CD practices and automated testing into data workflows.

You will partner with clients and internal stakeholders to translate complex business requirements into scalable, reliable data solutions. Your leadership will ensure that projects are delivered on time, within scope, and in full alignment with client expectations.

Key Responsibilities

• Lead technical delivery within Kubrick's squads 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, design solutions 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
• Line managing developers within the team, supporting their professional and personal development
• Promote a culture of engineering excellence within KA through curiosity, collaboration and contributions to the internal knowledge base
• 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

Required Skills & Experience

• Proven Experience in Data Engineering: must be able to demonstrate hands-on experience building and optimising data pipelines, architectures, and large-scale data processing systems, with a focus on cloud platforms such as AWS, Azure, or GCP
• Expertise in Snowflake: Strong working knowledge of the Snowflake platform including Snowpipe, Snowpark, Tasks and Dynamic Tables and UDFs for developing, scaling, and optimising data engineering workflows. This knowledge should ideally be evidenced with SnowPro certifications
• Proficiency in Programming Languages: proficiency in Python and SQL, with the ability to write clean, efficient, and well-documented code for ETL/ELT processes and data transformations
• Experience with Cloud-based Architectures: Sound understanding of cloud-native data solutions, including working with cloud storage (e.g., AWS S3, Azure Data Lake), data warehousing (e.g. Azure Data Factory, Synapse, Fabric, Snowflake, Redshift etc.), and other cloud services to enable scalable data processing.
• CI/CD and Automation: Familiarity with CI/CD pipelines and automated testing for data engineering workflows, ensuring efficient and reliable deployment of data pipelines and models
• Data Governance and Security: Experience within data governance frameworks and security best practices, ensuring that data solutions comply with industry standards and regulations
• Collaborative Mindset: Experience working closely with cross-functional teams, including data scientists, BI developers, and product owners. Proven ability to work within team settings to deliver data projects
• Leadership and Mentorship: Proven ability to play a leading role in delivery teams delivering data engineering solutions, providing technical guidance, and ensuring adherence to best practices and delivery timeline

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:

• Excellent salary & bonus
• Hybrid: 2-3 days a week in the office
• Friendly and collaborative working environment
• Access to upskilling opportunities and clear progression path (see below)
• 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

Development opportunities

We provide all team members with a collaborative and supported environment to progress through a structured career.

As part of this community, you will have the following development benefits and opportunities:

• 20 dedicated development days. Four of these will be quarterly collective training days and the remainder will be informed by your own professional development plan
• Support for Professional accreditations in our partner technologies, e.g. Snowflake, Databricks, AWS, Azure etc

We are proud supporters of Women in Data. Connect, engage and belong to the largest free female data community in the UK – visit:

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