Capgemini Engineering

Senior Data Engineer

Capgemini Engineering

Odesa, UA; Rivne, UA; Kyiv, UA; Lviv, UA

Job Type Permanent
Experience Experienced Professionals
Posted 1 month ago
Experienced Professionals Level

At Capgemini Engineering, the world leader in engineering services, we bring together a global team of engineers, scientists, and architects to help the world’s most innovative companies unleash their potential. From autonomous cars to life-saving robots, our digital and software technology experts provide unique R&D and engineering services across all industries.

Description

We are looking for a Senior Data Engineer to support the data platform and help scale data gathering, processing, and orchestration capabilities. The role involves building and maintaining reliable data pipelines, improving platform performance, and ensuring high-quality data is available for business and engineering teams.

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines.
  • Develop and support batch and streaming data workflows.
  • Improve reliability, monitoring, and performance of the data platform.
  • Build integrations between various internal and external data sources.
  • Implement data gathering mechanisms on remote IoT-connected devices.
  • Troubleshoot production issues and perform root cause analysis.
  • Work closely with software engineers, analysts, and platform teams.
  • Participate in architecture and technical design discussions.
  • Contribute to automation, testing, and CI/CD practices.

Required Skills

  • Strong Python and SQL experience.
  • Strong experience building ETL/ELT pipelines.
  • Strong Linux fundamentals.
  • Experience with data warehousing solutions such as ClickHouse and Redshift.
  • Strong experience with cloud-based data platforms.
  • Hands-on experience with Airflow or similar orchestration tools.
  • Experience with Kafka or other event-driven and data-streaming technologies.
  • Knowledge of CI/CD and automated testing.
  • Ability to ensure data quality, consistency, and availability.
  • Strong debugging and problem-solving skills.
  • Ability to work independently and take ownership.

Nice to Have

  • Spark or PySpark.
  • Terraform.
  • Kubernetes and Docker.
  • Data modeling and data governance experience.
  • Experience supporting large-scale production data platforms.
  • AI/ML data pipeline experience.

Seniority

Senior Engineer. Strong ownership mindset, able to drive technical solutions from requirements through production, and comfortable supporting production systems and handling platform issues.

Benefits and Company Information

Capgemini Engineering offers health insurance from the first days of employment, Christmas holidays from 25 December to 31 December, and cooperation with the Superhumans Center and Veteran HUB.

Capgemini is a global business and technology transformation partner with 340,000 team members in more than 50 countries. The company helps organizations accelerate their digital and sustainable transformation through services and solutions spanning strategy, design, engineering, AI, generative AI, cloud, and data.

Ref. code: 567942
Posted on: 28 Sept 2026
Experience Level: Experienced Professionals
Contract Type: Permanent
Location: Odesa, UA; Rivne, UA; Kyiv, UA; Lviv, UA
Brand: Capgemini Engineering
Professional Community: Software Engineering

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