Data Engineer- Senior Associate- Energy & Commodities

Company description About Publicis Sapient Most companies in the AI era do one of two things: they advise, or they sell you a tool. We do both. Publicis Sapient is a technology company that provides enterprise AI platforms and services, which means we build our own AI platforms and bring the strategists, product thinkers, designers and engineers who make them work inside the world's most complex businesses. It is where people and products shape the future of enterprise, and where your ideas actually reach the organizations that run the world. If you want to question how things are done, learn continuously and do the best work of your career alongside 20,000 people across 28 countries, you're in the right place. Come build with us. Our Commitment to Inclusive Hiring We are committed to fostering and encouraging an inclusive and welcoming environment for everyone and we believe great talent comes from many different backgrounds, experiences, and perspectives. That is why we are committed to creating a hiring process where everyone has an equal opportunity to succeed and feel safe. We welcome applications from all backgrounds and identities including: race, ethnicity, nationality, gender, disability, sexual orientation, gender identity, or religion and value the diverse experiences, perspectives, and strengths they bring to our teams. If there is anything we can do to make our recruitment process more accessible or comfortable for you, please let us know. We are happy to provide reasonable adjustments throughout the application and interview process. You can contact us anytime at emeahiringteam@publicissapient.com Your Safety Matters To Us At Publicis Sapient, we are committed to protecting candidates throughout every step of their journey with us. To help you stay safe from recruitment scams, please remember that our recruiters will only ever contact you from a Publicis Sapient email address. In some cases, we may partner with trusted, vetted recruitment agencies who will clearly identify themselves as working on behalf of Publicis Sapient. If you receive communication from any other domain claiming to represent us, please treat it with caution and contact us at emeahiringteam@publicissapient.com Overview Why This Role Matters 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. The ideal candidate brings deep technical expertise across modern data platforms, a strong track record of delivery, and extensive experience designing and implementing scalable data solutions in enterprise environments. This role is an excellent opportunity for someone who would like to join an international global organization with a 'start-up' mentality. We highly value Openness, Collaboration, Learning Mindset and partner with our clients to drive positive outcomes. Where You’ll Make an Impact 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. What You’ll Bring to the Team 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 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. Experience with data modelling, schema design, and data partitioning strategies. Knowledge of workflow orchestration tools (e.g., Airflow, Data Factory) is a plus. 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. Additional information What You’ll Get in Return 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