Senior Data Engineer

We are looking for experienced Data Engineers with strong Python, SQL and cloud experience. Join a multinational technology and consulting company and work on modern, scalable data solutions.

Key Job Responsibilities

• Design, develop, and maintain ETL/data pipelines from various sources into data warehouses.


• Design data models aligned with business needs for efficient querying and analysis.


• Ensure data orchestration pipelines are reliable, scalable, and efficient.


• Collaborate with data teams, vendors, and stakeholders to improve data products, processes, and systems.


• Follow data engineering best practices across coding, DevOps, documentation, and metadata.


• Work with audience tracking and subscriber datasets.


• Own assigned work, including development, testing, and delivery.


• Evaluate architectural and data modeling options, considering trade-offs and scalability.


• Maintain high-quality engineering output while meeting project timelines.


• Document current and future solution designs.

Key Job Requirements

• 5+ years of experience as a Data Engineer.


• Strong Python and SQL skills.


• Knowledge of OLTP/OLAP concepts and data modeling.


• Experience building data pipelines, ETL processes, and data infrastructure.


• Hands-on experience with Apache Airflow and DBT for workflow automation and transformations.


• Experience with Kafka/Pub/Sub, PySpark, or Dataflow.


• Strong analytical and problem-solving skills with excellent communication and collaboration.


• Understanding of cloud migration strategies and best practices.


• Experience with GCP, AWS, or Azure for data storage, processing, and analytics.


• Experience with cloud deployment and CI/CD/test automation.


• Familiarity with consumer behavior and/or subscriber data such as Google Analytics, Adobe Analytics, or Snowplow.


• Proficient use of AI tools to improve efficiency and focus on higher-impact technical work