Who We AreWe are seeking an accomplished and detail-oriented Snowflake Data Engineer. The successful candidate will bring deep expertise in data engineering, ETL/ELT pipelines, and cloud-native data platforms, with a strong focus on Snowflake. This role is critical in building and optimising modern data ecosystems that enable data-driven decision making, advanced analytics, and AI capabilities for our clients.As a trusted practitioner, you will collaborate with architects, developers, and analysts to design, implement, and maintain secure and high-performing data pipelines. You will thrive in a collaborative, client-facing environment, with a passion for solving complex data challenges, driving innovation, and ensuring the seamless delivery of data solutions.What You'll Be DoingClient Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomesData Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloadsSnowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliabilityData Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platformsCollaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvementQuality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practicesPartner with architects to translate solution designs into high‑quality engineering deliverablesCollaborate with technical teams to support development, troubleshooting, and end‑to‑end data deliveryClient Stakeholders: Engage with client technical leadersDelivery of high-performing, scalable, and secure data pipelines aligned to client requirementsHigh client satisfaction and successful adoption of Snowflake-based solutionsDemonstrated ability to innovate and improve data engineering practicesContribution to the growth of the practice through reusable assets, accelerators, and technical leadershipWhat You'll Bring AlongBSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certifications (SnowPro Core, Advanced) highly desirableExperience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with SnowflakeProven experience in data engineering and pipeline development on Snowflake and cloud-native platformsDeep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalentStrong SQL and Python (or equivalent language) skills for data manipulation and automationHands-on experience with cloud platforms (AWS, Azure, GCP)Knowledge of data modelling methodologies (star schemas, Data Vault, Kimball, Inmon)Familiarity with data lake architectures and distributed processing frameworks (e.g., Spark, Hadoop)Experience with version control tools (GitHub, Bitbucket) and CI/CD pipelinesUnderstanding of data governance, security, and compliance frameworksStrong consulting values with ability to collaborate effectively in client-facing environmentsExpertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumptionStrong problem-solving, analytical, and communication skillsExperience leading or mentoring teams of engineers in delivering high-quality data solutions Show more Show less