Senior Data Engineer

About the Role

We are looking for a highly capable Data Engineer to take ownership of delivering data solutions in a fast-paced, enterprise environment. This is a hands-on role suited to someone who thrives with autonomy, takes initiative, and can engage directly with stakeholders without heavy oversight.

Key Responsibilities

• Design, build, and maintain scalable data pipelines on a modern data lake platform
• Work extensively with Databricks and PySpark to process and transform large datasets
• Support and enhance existing data pipelines while contributing to new platform capabilities
• Collaborate directly with internal customers to understand requirements and deliver solutions
• Drive improvements in testing practices, including transitioning toward test automation
• Contribute to deployment pipelines and CI/CD best practices
• Operate independently with minimal supervision while maintaining high delivery standards
• Support both operational stability and ongoing transformation initiatives

Key Skills & Experience

• Strong hands-on experience with:

• Databricks
• PySpark
• Data lake architectures

• Proven experience building and maintaining data pipelines in production environments
• Exposure to automation in testing and improving engineering practices
• Experience with deployment pipelines/CI-CD (preferred)
• Ability to work independently and take ownership of deliverables
• Strong stakeholder management and communication skills
• Comfortable interacting directly with internal customers and translating business needs into technical solutions

• Strong hands-on experience with:

• Databricks
• PySpark
• Data lake architectures

• Proven experience building and maintaining data pipelines in production environments
• Exposure to automation in testing and improving engineering practices
• Experience with deployment pipelines/CI-CD (preferred)
• Ability to work independently and take ownership of deliverables
• Strong stakeholder management and communication skills
• Comfortable interacting directly with internal customers and translating business needs into technical solutions