Senior Data Engineer

Eviden, part of the Atos Group, with an annual revenue of circa € 5 billion is a global leader in data-driven, trusted and sustainable digital transformation. As a next generation digital business with worldwide leading positions in digital, cloud, data, advanced computing and security, it brings deep expertise for all industries in more than 47 countries. By uniting unique high-end technologies across the full digital continuum with 47,000 world-class talents, Eviden expands the possibilities of data and technology, now and for generations to come.

As part of our development, we’re looking for a Senior Data Engineer to strengthen our data infrastructure and support our growing data needs.

Mission

As a Senior Data Engineer, you will be responsible for designing, building, and maintaining a scalable and reliable data infrastructure. You’ll work closely with software engineers and product teams to ensure data availability and consistency, optimize storage and queries, and enable efficient reporting and analytics across the platform.

Responsibilities:

• Monitoring, troubleshooting, and enhancing OOP Python-based Data engineering prescriptive analytics solution, running in Azure environment.

•  Integrating the end-to-end data pipeline to take data from source systems to target data repositories ensuring the quality and consistency of data is always maintained

•  Evaluating the performance and applicability of multiple tools against customer requirements

• Ensure data quality, reliability, and security across our data architecture.

• Work with stakeholders to define data requirements and ensure alignment with business needs.

• Develop and maintain data pipelines for processing and transforming large datasets.

• Optimize database performance and storage solutions for scalability and cost efficiency.

Profile:

• Experience: 5+ years in Data Engineering or a similar role.

• Proficient in Python OOP (strong experience with Python for data engineering apps).

•  Hands-on experience designing and delivering solutions using Azure.• Direct experience of building data pipelines using Azure Data Factory and Apache Spark (preferably in Databricks).

•  Experience with data ingestion/ETL (ADF or other ETL orchestration engines).

•  Programming experience in Scala or Python

• Proven experience working as a data engineer

•  Highly proficient in using the spark framework (python and/or Scala)

Interpersonal skills:
         • Must be team oriented with strong collaboration, prioritization, and adaptability skills required
           • Drive, proactive, self-motivated and willing to learn.
          • Enjoy working in a team to solve complex issues.
          • Ability to adjust to changing priorities.

What we offer

• A chance to contribute to building an innovative product with a strong impact on sustainable development and reducing companies' environmental impact.

• A dynamic and growing team committed to providing high-quality solutions.

• An iterative product environment, focusing on continuous improvement and innovation.

•  Training and Certifications: Access to continuous learning and career development opportunities.

•  Flexible working environment

• Competitive salary and benefits package.

•  Reimbursement: Get a yearly fixed amount for reimbursement.

•  Performance Bonus: Earn an annual performance bonus based on your achievements.

• Career Advancement: Explore numerous opportunities for professional growth and career advancement.

• Extra Vacation Days: Take advantage of additional vacation days to relax and recharge.

   

Let’s grow together.