Data Engineer - Global Hybrid Contract

• Lead and support all project lifecycle stages including requirements gathering and testing.
• Provide technical solutions aligned with distribution compliance frameworks.
• Execute maintenance tasks including incident and change management.
• Conduct knowledge transfer, coaching, and training sessions for internal stakeholders.
• Engage with business users to gather and refine requirements.

A technology consultancy firm is looking for a Senior Data Engineer to support business operations and international technology projects. This hybrid role requires a presence in the office for 2 days per week and a 6-month contract with potential extensions. The candidate should have at least 3 years of Data Engineering experience, strong skills in Python and SQL, and knowledge in ITIL and ISO standards. On-call coverage during month-end closing is required., * Minimum 2+ years as a Senior Consultant, ideally in technology or business transformation.

• Experience delivering international projects with full lifecycle ownership.
• Proven track record in ITIL-driven environments and within ISO 20K / ISO 27K frameworks.
• 3+ years of Data Engineering experience.
• 2+ years in Data Analytics on AWS., Data Engineering experience Data Analytics on AWS Programming skills in Python Programming skills in SQL Hands-on experience with Apache Spark (PySpark) Experience with orchestration tools such as Airflow Familiarity with Docker and ECS Experience with open-source tools: Kafka, dbt Programming experience in Java Knowledge of relational and non-relational databases Experience with QlikView and QlikSense Experience with Databricks Descripción del empleo