Senior Data Engineering

Job description

Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Overview

Publicis Sapient is looking for a Senior Data Engineer to take ownership of data pipeline health, evolution, and reliability for systems feeding off ENDUR and the reporting layer built on Power BI. While prior knowledge of energy trading and ETRM concepts is a significant advantage, Endur-specific skills are not mandatory — selected candidates will attend focused ETRM domain training as part of onboarding. Your Impact Maintain and evolve Airflow-based pipelines pulling from ENDUR batches, including DAG execution, monitoring, and config changes.

Detect and resolve pipeline failures and data mismatches with minimal downtime and business disruption. Build Power BI data models and complete reporting solutions aligning with stakeholder needs. Author new pipeline transformations, optimize Spark jobs, and refine advanced SQL queries. Drive root cause analysis and implement preventive solutions across data flows and reporting layers. Mentor junior engineers, enforce standards, and contribute to proactive monitoring frameworks.

Skills & Experience

6+ years of hands-on data engineering experience in production environments.

Strong proficiency with: Apache Airflow (DAG authoring, custom operators, retry logic, SLAs) Python with OOP and unit testing Advanced SQL (tuning, views, validations) Apache Spark Power BI end-to-end (data modeling, DAX, RLS) Experience working with on-prem/hybrid lakehouse environments (MinIO, Apache Iceberg, Trino). Familiarity with CI/CD and test automation for pipelines and reports. ETRM experience preferred but not required; mandatory training will be provided pre-deployment.

Set Yourself Apart With Previous work in energy trading or BFSI risk/trading data platforms. Experience implementing monitoring, alerting, and preventive reconciliation frameworks. Background in containerized workloads, Kubernetes, or related orchestration platforms. Evidence of handling high-pressure incident response and on-call rotations effectively. Additional information An inclusive workplace that promotes diversity and collaboration.

Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion.

We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]