Senior Data Engineer – Energy & Commodities

About the role

Publicis Sapient is looking for a Senior Data Engineer passionate about technology, data and innovation, to build data platforms and technology solutions that drive business value and support data-driven decisions. The role suits someone who wants to join an international global organization with a start-up mentality, working closely with clients.

Key responsibilities

• Design, implement and test data pipelines, ETL/ELT processes and data storage solutions
• Build and maintain scalable, reliable, high-performance pipelines for structured and unstructured data
• Work with big data technologies and distributed systems to process and transform large datasets
• Collaborate with data modelers, data scientists and solution architects on efficient data flows and storage
• Partner with data scientists and analysts to deliver clean, well-structured data
• Coordinate with integration teams and data source owners for data ingestion from multiple systems
• Automate provisioning, deployments and environment management for data platforms
• Create and support APIs and data services for internal and external consumers
• Ensure solutions meet requirements for scalability, performance, data quality and governance

Required profile

• Bachelor's degree in Computer Science, Engineering or a related field (or equivalent experience)
• Extensive hands-on experience with ETL/ELT design and implementation
• Proven experience with Microsoft Fabric and Azure Cloud, including data integration, engineering and analytics workloads
• Proficiency in Python
• Experience with big data ecosystems (Spark, Hadoop, Kafka, Flink)
• Solid SQL knowledge and experience with relational and non-relational databases
• Strong teamwork, communication, analytical thinking and problem-solving skills; fluent English

Required skills

• ETL/ELT, Microsoft Fabric, Azure, Python, SQL
• Big data: Spark, Hadoop, Kafka, Flink
• Plus: SAP data sources, AWS, GCP, Databricks, Snowflake, BigQuery, Synapse, Airflow, Data Factory, Git, CI/CD, Agile

What we offer

• A fast-paced tech environment with continuous growth and learning
• Open feedback culture, room for own initiative and recognition and rewards
• Flexible schedule, medical subscription, meal tickets and extra vacation days starting with 25