Senior Data Engineer

Key Responsibilities • Design data pipelines, architectures, models and reusable data capabilities. • Apply engineering practices to improve reliability, security, observability and performance. • Evaluate technologies and contribute to data architecture and engineering standards. • Promote automated testing, code review, CI/CD and infrastructure-as-code. • Work with engineers, Product Managers, Data Scientists, analysts and users. • Provide technical leadership through design reviews, mentoring and knowledge sharing. Requirements • Strong software engineering skills with Python and SQL. • Experience building and operating complex production data systems. • Strong enterprise data architecture and engineering experience. • Experience with data pipelines, data modelling, data warehouses, data lakes and lakehouse architectures. • Experience with AWS and modern data platforms such as Redshift, Snowflake, Databricks or BigQuery. • Experience with data orchestration, transformation and modelling. • Strong understanding of testing, CI/CD, monitoring, troubleshooting and data quality. Good to Have • Apache Airflow or equivalent. • Apache Spark. • AWS data services and cloud infrastructure. • Tableau, Power BI or equivalent. • Infrastructure-as-code, data observability, metadata, catalogue or lineage.