Senior Data Engineer

• Build and deliver scalable data pipelines using modern cloud-based architectures, optimizing data reliability and performance.
• Develop new API integrations to streamline and enhance data accessibility across business functions.
• Collaborate with Data Science and Business teams to develop analytical solutions, unlocking actionable insights through data analysis, investigation, and visualization.
• Influence best practices in Databricks and cloud-based data engineering, driving innovation and adoption across teams.
• Establish trust and strong relationships across technical and business teams, ensuring alignment on data strategy and execution.
• Lead process automation efforts and proactively identify optimisation opportunities, improving data workflows and ensuring scalability.
• Implement monitoring, alerts, and compliance controls to ensure data accuracy, availability, and security.
• Be the go-to expert for data solutions and integrations, providing guidance and technical mentorship to team members.
• Create accurate and clear technical documentation to standardize processes and enhance knowledge-sharing.

Key requirements:

• Degree in Computer Science, Engineering or equivalent technical field experience
• 4+ years of hands-on experience in Data Engineering or Software Engineering
• Fluent in SQL and proficient in at least one programming language (e.g., Python, Java, Scala etc.)
• Strong expertise in Databricks, AWS S3, Spark and Airflow
• Knowledge of system and software engineering architecture principles, concepts, and best practices
• Proactive self-starter with a proven ability to identify opportunities, propose innovative solutions, and execute them effectively
• Ability to handle high-impact stakeholders with professionalism and composure, even under pressure
• Strong analytical and problem-solving skills with a proactive approach to issue resolution
• Excellent communication skills, with the ability to clearly articulate complex technical concepts to non-technical stakeholders

Nice to have:

• Demonstrable experience with data visualisation