Senior Data Engineer

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Description

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.

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