Senior Data Engineer

Job Description We are seeking a highly skilled Architect / Senior Data Engineer to design, build, and optimise our modern data ecosystem. The ideal candidate will have deep experience with AWS cloud services, Snowflake, and DBT, along with a strong understanding of scalable data architecture, ETL/ELT development, and data modelling best practices. Responsibilities • Architect, design, and implement scalable, reliable, and secure data solutions using AWS, Snowflake, and DBT. • Develop end-to-end data pipelines (batch and streaming) to support analytics, machine learning, and business intelligence needs. • Lead the modernisation and migration of legacy data systems to cloud-native architectures. • Define and enforce data engineering best practices, including coding standards, CI/CD, testing, and monitoring. • Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and translate them into technical solutions. • Optimise Snowflake performance through query tuning, warehouse sizing, and cost management. • Establish and maintain data governance, security, and compliance standards across the data platform. • Mentor and guide junior data engineers, providing technical leadership and direction. Required Skills & Qualifications • 8+ years of experience in Data Engineering, with at least 3+ years in a cloud-native data environment. • Hands-on expertise in AWS services such as S3, Glue, Lambda, Step Functions, Redshift, and IAM. • Strong experience with Snowflake – data modelling, warehouse design, performance optimisation, and cost governance. • Proven experience with DBT (data build tool) – model development, documentation, and deployment automation. • Proficient in SQL, Python, and ETL/ELT pipeline development. • Experience with CI/CD pipelines, version control (Git), and workflow orchestration tools (Airflow, Dagster, Prefect, etc.). • Familiarity with data governance and security best practices, including role-based access control and data masking. • Strong understanding of data modelling techniques (Kimball, Data Vault, etc.) and data architecture principles. Preferred Qualifications • AWS Certification (e.g., AWS Certified Data Analytics – Speciality, Solutions Architect). • Strong communication and collaboration skills, with a track record of working in agile environments.