Senior Data Engineer

We are hiring a Senior Data Engineer to lead and grow our Data Engineering team. This role is ideal for an experienced data engineering professional who has a strong technical foundation and a track record of delivering scalable data platforms in fast-paced environments.

Responsibilities:

• Drive execution of the data engineering roadmap in alignment with business priorities.
• Lead and mentor a team of data engineers, supporting their growth and ensuring high-quality delivery.
• Design, build, and maintain scalable data pipelines (batch and streaming).
• Develop and operate high-throughput, low-latency data processing systems.
• Work within the Databricks and Spark ecosystem to support large-scale data workloads.
• Build and maintain cloud-native data solutions on AWS.
• Leverage dbt for transformation, data modelling, testing, and documentation.
• Use Airflow (or similar orchestration tools) to manage and schedule data workflows.
• Establish and enforce best practices around code quality, testing, CI/CD, monitoring, and reliability.
• Collaborate closely with product, analytics, and infrastructure teams to deliver impactful data solutions.
• Contribute to technical design decisions and continuously improve system performance and developer productivity.

Requirements:

• Bachelor's or master's degree in computer science, Engineering, or a related field.
• 5+ years of experience in data engineering or distributed systems.
• Strong hands-on experience with AWS, Databricks/Spark, and modern data architecture.
• Experience building and operating both batch and streaming data pipelines.
• Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration.
• Solid understanding of data modelling, data quality, and production data systems.

Skills

AWS, Data, Databricks, Spark