Senior Data Engineer

Role Responsibilities:

• Design end‑to‑end data architectures aligned with UDA standards
• Build and optimize batch and near‑real‑time data pipelines
• Implement Bronze / Silver / Gold data models and curated data products
• Engineer solutions on AWS (S3, Glue, MWAA, Athena/Redshift) and GCP (GCS, BigQuery, Dataproc, Dataflow)
• Apply data governance, quality, lineage, and security controls
• Partner with business and analytics teams to translate requirements into data solutions
• Contribute to reusable patterns, lighthouse initiatives, and platform modernization
• Mentor junior engineers and drive engineering best practices

Minimum Requirements:

• 4 to 7 years of experience in Data Engineering / Data Platforms
• Strong hands‑on experience with AWS and GCP
• Proficiency in PySpark, SQL, Python
• Experience with Airflow / Cloud Composer / MWAA
• Solid understanding of lakehouse architecture and data modeling
• Experience working with enterprise business processes (Finance, Supply Chain, Sales, etc.)
• Strong communication and stakeholder collaboration skills

Benefits

We are committed to offering competitive benefits programs for all of our employees and enhancing our programs when necessary.

• Enjoy your best years with our retirement savings plan
• Have peace of mind and body with our health insurance
• Make yourself a priority with flexible schedules, parental leave and our holiday purchase scheme
• Drive forward your career through professional development opportunities
  • Achieve your personal goals with our Employee Assistance Programme.