Kubrick
Details
Required Skill Snowflake; Snowflake Champion (Certified) Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description / Summary
Senior Data Engineer SnowflakeTransform 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. 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: 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 Snowflake including Snowpipe, Snowpark, Tasks and Dynamic Tables and UDFs for developing, scaling, and optimising data engineering workflows. SnowPro certifications are preferred Proficiency in Programming Languages: 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: Understanding of cloud-native data solutions, including cloud storage (e.g., AWS S3, Azure Data Lake), data warehousing (e.g., Azure Data Factory, Synapse, Fabric, Snowflake, Redshift), and other cloud services CI/CD and Automation: Familiarity with CI/CD pipelines and automated testing for data engineering workflows Data Governance and Security: Experience with data governance frameworks and security best practices Collaborative Mindset: Experience working with cross-functional teams and ability to work in team settings to deliver data projects Leadership and Mentorship: Ability to lead delivery teams, provide technical guidance, and ensure adherence to best practices and delivery timelines 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 opportunitiesWe 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
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Required Skill Snowflake; Snowflake Champion (Certified) Number of Positions 1 City Mansion House Province Greater London Postal Code EC4 Country United Kingdom Job Type NA Job Description / Summary
Senior Data Engineer SnowflakeTransform 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. 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: 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 Snowflake including Snowpipe, Snowpark, Tasks and Dynamic Tables and UDFs for developing, scaling, and optimising data engineering workflows. SnowPro certifications are preferred Proficiency in Programming Languages: 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: Understanding of cloud-native data solutions, including cloud storage (e.g., AWS S3, Azure Data Lake), data warehousing (e.g., Azure Data Factory, Synapse, Fabric, Snowflake, Redshift), and other cloud services CI/CD and Automation: Familiarity with CI/CD pipelines and automated testing for data engineering workflows Data Governance and Security: Experience with data governance frameworks and security best practices Collaborative Mindset: Experience working with cross-functional teams and ability to work in team settings to deliver data projects Leadership and Mentorship: Ability to lead delivery teams, provide technical guidance, and ensure adherence to best practices and delivery timelines 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 opportunitiesWe 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
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