Data Engineer – VIE F/H/X
Listed on 2026-01-13
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IT/Tech
Data Engineer
Job description
Join our team and start a new adventure in an international and dynamic environment where you will be able to fulfill your career expectations in a fast‑growing organization. As a Data Engineer under the VIE program
, you will be positioned at the heart of our data ecosystem, contributing to both technical and cross‑functional projects. You will design, develop, and maintain scalable data pipelines, ETL/ELT workflows, and data warehousing solutions, converting raw data into reliable, high‑quality datasets that support analytics and business intelligence.
- Design and implement efficient ETL/ELT pipelines to process large volumes of data from various sources
- Build and maintain data warehousing solutions and data lakes to support analytics and reporting needs
- Optimize data pipelines for speed, reliability, and cost‑effectiveness
- Work closely with cross‑functional teams to integrate data systems and ensure high‑quality, reliable data
- Implement monitoring tools and processes to ensure continuous pipeline operation and proactively address issues
- Collaborate with BI and analytics teams to deliver actionable insights and reporting capabilities
- Participate in projects implementing cloud‑based data platforms (AWS, Azure, or GCP) and Databricks environments
- Ensure adherence to best practices in data governance, security, and architecture
- Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
- Minimum 2–3 years of experience in data engineering, ETL development, or a similar role
- Professional fluency in English and French
- Proficiency in SQL and programming languages such as Python or Scala
- Experience with cloud‑based data platforms (AWS, Azure, or GCP)
- Experience with modern data warehousing solutions, data lakes, and Databricks
- Experience with big data frameworks (Apache Spark, Hadoop)
- Familiarity with containerization and orchestration tools (Docker, Kubernetes)
- Excellent problem‑solving, analytical, and critical‑thinking skills, with a focus on data quality and performance optimization
- Strong communication and presentation skills, able to explain technical concepts to non‑technical stakeholders
- Proven ability to work collaboratively in a multicultural and dynamic team environment
- Experience with generative AI tools to support data engineering productivity and automation
- International learning environment
- Extensive training and certifications
- A R&D laboratory to develop skills on innovative projects
- Opportunity to bring new ideas and develop a thriving business
- Individual coaching and mentoring for professional and personal growth
- A tailored, evolving career path
- Agility: thrive in a flexible, dynamic, and stimulating environment
- International scope: daily international exchanges and mobility opportunities in over 60 countries
- Intrapreneurship: engage in related topics or develop your own Business Unit
- Attentive management: managers adapt to your profile and support your professional journey
Equal Opportunity Amaris Consulting is proud to be an equal‑opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.
Who are we?Amaris Consulting is an independent technology‑consulting firm providing guidance and solutions to businesses. With more than 1,000 clients worldwide and a team of 7,600 professionals across five continents, we focus on four main business lines:
Information Systems & Digital, Telecom, Life Sciences, and Engineering. We build and nurture a top talent community where all team members can achieve their full potential. At Amaris, we strive to provide a best‑possible recruitment experience and support each candidate’s growth through coaching, training, and career development opportunities.
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