Data Engineer (ETL/Big Data Pipelines)

Job Title: Data Engineer
Department: Data, Analytics & AI
Reports To: Head of Data Engineering

Role Overview

We are hiring a Data Engineer to build and maintain scalable data pipelines, storage systems, and transformation workflows that support analytics, BI, AI, and operational reporting.

Key Responsibilities

• Design and manage ETL/ELT pipelines
• Build reliable data ingestion, transformation, and integration workflows
• Maintain data warehouses, lakes, and pipeline orchestration systems
• Ensure data quality, lineage, and availability
• Optimize performance, cost, and scalability
• Collaborate with data scientists, analysts, and BI teams

Required Qualifications

• Strong SQL and Python skills
• Experience with data pipeline tools and cloud data platforms
• Knowledge of data modeling, warehousing, and orchestration
• Experience handling structured and unstructured data

Preferred Qualifications

• Experience with Spark, Airflow, dbt, Kafka, Snowflake, BigQuery, Redshift, or Azure Data Factory
• Familiarity with API ingestion and real-time pipelines
• Experience supporting AI/ML data workflows