Lead Data Engineer

practices.Collaborate with analytics, software and platform teams to deliver reusable data products and APIs.Mentor engineers, conduct code reviews, and contribute to hiring and capability development.Required Skills & Experience Significant experience in data engineering, including leading teams or major technical SQL and strong programming skills in Python and/or Scala.Cloud data engineering experience (AWS, Azure or GCP), including object storage, compute and managed data services.Strong experience with modern data warehousing/lakehouse tools (e.g., Snowflake, BigQuery, Redshift, Databricks).Hands-on orchestration experience (e.g., Airflow, Dagster, Prefect) and CI/CD for data pipelines.Experience with streaming and event-driven data (e.g., Kafka, Kinesis, Pub/Sub) is highly desirable.Proficiency with infrastructure as code (e.g., Terraform, CloudFormation) and containerisation (Docker; Kubernetes beneficial).Strong understanding of data quality frameworks, testing (unit/integration), and observability.Excellent stakeholder management and communication skills, able to translate requirements into technical solutions.Qualifications Bachelor’s degree in Computer Science, Engineering, Mathematics or a related discipline (or equivalent experience).Relevant cloud or data certifications are advantageous.What You’ll Bring A pragmatic, delivery-focused mindset with a commitment to high standards.Ability to lead by example, coach others and build effective engineering practices.Curiosity, accountability and a continuous improvement approach.