Senior Data Engineer

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. #J-18808-Ljbffr Veriipro