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Data Engineer- Specialist- Financial Services

at Publicis Sapient

Lascar Catargiu Boulevard 47 - 53 Bucharest 010665 Romania, full time

seen 56d ago

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  • Airflow
  • Java
  • Azure
  • Data Factory
  • BigQuery
  • Hadoop
  • Kafka
  • ELT
  • Flink
  • SQL
  • Synapse
  • Git
  • GCP
  • Snowflake
  • CI/CD
  • Spark
  • Databricks
  • ETL
  • AWS
  • Python

About the role

You will lead a team and create technology products that help people have the best healthcare experience they have ever had. We are looking for a leader with a strong passion for both technology and people, who is motivated to build outstanding products. The ideal candidate brings deep technical expertise across multiple technologies, a strong track record of delivery, and proven experience in building and leading high‑performance engineering teams.

What you would do

* 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 they are looking for

* Hands-on experience with ETL/ELT design and implementation * Familiarity with big data ecosystems (e.g., Spark, Hadoop, Kafka, Flink) * Experience with one or more cloud platforms (Azure, AWS, GCP) and modern data engineering tools (e.g., Databricks, Snowflake, BigQuery, Synapse) * Proficiency in programming languages such as Python, Java * Solid understanding of SQL and experience with both relational and non-relational databases * Experience with data modeling, 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 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

Read from careers.publicissapient.com, last seen 2d ago.