Data Engineer

Role:

• This team builds an enterprise data lake/warehouse powering product, operations, and analytics.
• We’re hiring a data engineer with strong Big Data engineering and stakeholder-facing analytics skills to design data models, build reliable pipelines, and deliver trusted BI insights across functional teams.
• You’ll partner with the BSA and business stakeholders to translate needs into scalable data solutions while ensuring security, governance, and high data quality.

Responsibilities:

• Design and build distributed ETL/ELT pipelines for large datasets (batch and/or near real-time).
• Develop and optimise data models (dimensional/warehouse patterns) to enable self-serve analytics.
• Implement data quality controls, reconciliation checks, and monitoring/alerting for pipeline reliability.
• Build and maintain CI/CD for data pipelines (testing, deployment, and rollback practices).
• Troubleshoot performance/data issues (skew, partitioning, late data, duplicates), and propose fixes at the source.

Required skills:

• 5–7 years in data engineering with hands-on big data exposure.
• Strong SQL (window functions, tuning, complex transformations).
• Hands-on with Spark and at least one ecosystem component (Hive/Hadoop) in production.
• Experience with data modelling/warehousing patterns (star schema, SCD, ETL design).