Data Engineer

Publicis Sapient is a global digital transformation company dedicated to helping organizations reimagine their businesses for the digital age. With a focus on innovation, agility, and customer-centric solutions, we partner with leading brands across various industries to deliver impactful digital experiences. Our expertise spans consulting, technology, and marketing, enabling us to craft tailored strategies that drive growth and operational excellence. Committed to fostering an inclusive and collaborative work environment, Publicis Sapient values diversity, continuous learning, and the pursuit of excellence in all our endeavors.

Publicis Sapient is a global digital transformation company dedicated to helping organizations reimagine their businesses for the digital age. With a focus on innovation, agility, and customer-centric solutions, we partner with leading brands across various industries to deliver impactful digital experiences. Our expertise spans consulting, technology, and marketing, enabling us to craft tailored strategies that drive growth and operational excellence. Committed to fostering an inclusive and collaborative work environment, Publicis Sapient values diversity, continuous learning, and the pursuit of excellence in all our endeavors.

We are seeking a highly skilled Data Engineering Manager to lead our data engineering team and drive the development of cutting‑edge data products. In this role, you will be responsible for designing, implementing, and maintaining scalable data pipelines and storage solutions that support our analytics and business intelligence initiatives. You will collaborate closely with data scientists, analysts, and solution architects to ensure efficient data flow, quality, and accessibility.

As a leader, you will foster a high-performance team environment, promote best practices in data engineering, and oversee the automation of data platform provisioning and deployment processes. Your technical expertise and leadership will be pivotal in enabling Publicis Sapient to leverage data as a strategic asset for our clients’ success.

The ideal candidate will have a minimum of 6 years of professional experience in data engineering or related fields, with a proven track record of leading high-performing teams. A bachelor's degree in Computer Science, Engineering, or a related discipline is required, or equivalent professional experience. Essential technical skills include hands-on experience with ETL/ELT design and implementation, proficiency in programming languages such as Python and Java, and a solid understanding of SQL, relational, and non-relational databases.

Familiarity with big data ecosystems like Spark, Hadoop, Kafka, and Flink is crucial, along with experience working with cloud platforms such as Azure, AWS, or GCP. Knowledge of modern data engineering tools like Databricks, Snowflake, Big Query, or Synapse is highly desirable. Strong analytical, problem-solving, communication skills, and fluency in German are also required. Additional assets include familiarity with workflow orchestration tools (e.g., Airflow, Data Factory) and experience in the Energy, Commodities, or Financial Services sectors.

• Designing, implementing, and testing robust data pipelines, ETL/ELT processes, and scalable storage solutions to support diverse data needs.
• Building and maintaining reliable, high-performance data pipelines capable of processing both structured and unstructured data.
• Leveraging big data technologies and distributed systems to handle large datasets efficiently.
• Collaborating with data modelers, data scientists, and solution architects to optimize data flows and storage…