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.