Who We Are
We 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 Doing

• Client Engagement & Delivery: Collaborate with clients to understand data requirements, contribute to solution delivery, and ensure successful project outcomes
• Data Pipeline Development: Design, build, and optimise robust, scalable data pipelines to support analytics, reporting, and operational workloads
• Snowflake & Cloud Data Platforms: Develop and maintain data solutions on Snowflake and modern cloud ecosystems, ensuring performance, security, and reliability
• Data Architecture & Modelling: Implement high‑quality data models and contribute to architectural decisions that support enterprise‑grade data platforms
• Collaboration & Best Practices: Work closely with cross‑functional teams to promote engineering best practices, code quality, and continuous improvement
• Quality & Governance: Ensure data accuracy, consistency, and compliance through strong testing, documentation, and governance practices
• Partner with architects to translate solution designs into high‑quality engineering deliverables
• Collaborate with technical teams to support development, troubleshooting, and end‑to‑end data delivery
• Client Stakeholders: Engage with client technical leaders
• Delivery of high-performing, scalable, and secure data pipelines aligned to client requirements
• High client satisfaction and successful adoption of Snowflake-based solutions
• Demonstrated ability to innovate and improve data engineering practices
• Contribution to the growth of the practice through reusable assets, accelerators, and technical leadership
  

What You'll Bring Along

• BSc/MSc in Computer Science, Data Engineering, or related field; Snowflake certifications (SnowPro Core, Advanced) highly desirable
• Experience: Minimum 5–8 years in data engineering, data warehousing, or data architecture roles, with at least 3+ years working with Snowflake
• Proven experience in data engineering and pipeline development on Snowflake and cloud-native platforms
• Deep expertise with Snowflake features (warehouses, Snowpark, data sharing, performance tuning)
• Proficiency in ETL/ELT tools such as DBT, Matillion, Talend, or equivalent
• Strong SQL and Python (or equivalent language) skills for data manipulation and automation
• Hands-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 pipelines
• Understanding of data governance, security, and compliance frameworks
• Strong consulting values with ability to collaborate effectively in client-facing environments
• Expertise across the data lifecycle: ingestion, transformation, modelling, governance, and consumption
• Strong problem-solving, analytical, and communication skills
• Experience leading or mentoring teams of engineers in delivering high-quality data solutions
  

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