Data engineer in energy and commodities

Publicis Sapient is looking for a highly skilled Senior Data Engineer with a strong passion for technology, data, and innovation, who is motivated to build outstanding data solutions and contribute to high-impact products. You will play a key role in building innovative data platforms and technology solutions that drive business value and support data-driven decision-making.

• Design, implement, and test data pipelines, ETL/ELT processes, and data storage solutions.
• Build and maintain scalable, reliable, and 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 to ensure efficient data flows and optimal storage.
• Partner with data scientists and analysts to deliver clean, well-structured, and accessible data.
• Coordinate with integration teams and data source owners for smooth ingestion of data 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.

• Extensive hands-on experience with ETL/ELT design and implementation.
• Proven experience working with Microsoft Fabric And Azure Cloud, including data integration, data engineering, and analytics workloads.
• Proficiency in programming languages such as Python.
• Experience with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink).
• Solid understanding of SQL and experience with both relational and non-relational databases.
• Experience with data modelling, schema design, and data partitioning strategies.
• Experience with version control (e.g., Git) and CI/CD practices.
• Familiarity with Agile development methodologies and test management basics.
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Extensive experience in data engineering or related roles.
• Strong teamwork, communication, analytical thinking, and problem-solving skills.
• Fluent in English, both spoken and written.
• Curiosity and drive to continuously learn, adapt, and share knowledge.
• Будет плюсом: Experience working with SAP data sources and integrations is considered a strong plus; Experience more cloud platforms (AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, Big Query, Synapse) is a plus; Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus

• A fast-paced tech environment
• Continuous growth & learning
• Open feedback culture
• Room for own initiative & ideas
• Transparency about results & strategy
• Recognition & reward for hard work
• Working with a flexible schedule
• Medical subscription
• Meal tickets
• Extra vacation days - starting with 25 vacation days
• Many others perks