Data Engineer

About the Role

Responsibilities

• Build batch and streaming pipelines using Python, SQL and Spark
• Develop and maintain lakehouse or warehouse models on Databricks or similar platforms
• Implement data quality checks, monitoring and lineage
• Optimise jobs for performance and cost
• Work with stakeholders to translate reporting and analytics needs into data models

Required Skills

• 2–5 years of experience in data engineering
• Strong SQL and Python skills
• Hands-on experience with Apache Spark and Databricks
• Experience with at least one cloud platform (Azure, AWS or GCP)
• Understanding of ETL/ELT patterns and dimensional modelling

Good to Have

• Experience with dbt and Airflow
• Exposure to Kafka or streaming platforms
• Snowflake experience
• Knowledge of data governance tools

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics or a related field, or equivalent experience

What We Offer

• Competitive compensation
• Learning opportunities
• Career growth
• Collaborative culture
• Flexible working options