Senior Data Engineer

Currently, we are looking for a Senior Data Engineer to develop and optimize systems in the renewable energy sector and support cutting-edge innovation in the field of hydrogen technology by building and scaling robust data infrastructure.

What you’ll be doing as a Senior Data Engineer:

• Design, deploy, and scale industrial-grade ETL pipelines and data workflows.
• Work on streaming data and IoT integration using tools such as Stream Analytics or Kafka.
• Process and analyze time-series data relevant to renewable energy systems.
• Build cloud-based data solutions, preferably within Microsoft Azure.
• Collaborate with global teams to develop and optimize electrolyzer technologies.
• Support CI/CD processes including build-servers, code repositories, and deployment tools.
• Implement data governance practices to ensure quality, security, and accessibility.
• Partner closely with data analysts and stakeholders to capture and model business-critical data.
• Build and manage data models, APIs, and metadata standards across platforms.
• Contribute to data visualization solutions using Power BI or Tableau.

Company Details

Welcome to Akkodis

At #Akkodis, we’re a diverse team of 50,000+ engineers and digital experts, operating across 30 locations worldwide. From training teams to delivering projects, our Smart Industry experts create new value for businesses across the world. United by our passion for talent and technology, our colleagues bring their diversity of experience, skills, and insights together to deliver 360° capabilities to our partners. This is how we make the incredible happen, every day.

Candidate Profile

What you need to be successful as a Senior Data Engineer:

• 5+ years of experience in data engineering roles with industrial-scale solutions.
• Proficiency in data orchestration tools like Azure Data Factory, Fabric, or Databricks workflows.
• Strong experience with SQL, NoSQL, and time-series data processing.
• Hands-on experience with Python (including NumPy, Pandas, PySpark) and Yaml.
• Familiarity with Git for version control and DevOps principles for CI/CD automation.
• Understanding of testing frameworks including unit, integration, and acceptance testing.
• Knowledge of data governance and analytics enablement practices.
• Strong collaboration skills and experience working in Scrum teams using Jira and Azure DevOps.
• Experience in stakeholder engagement to define and refine analytical requirements.
• Proactive, independent, and eager to work in a multidisciplinary and international environment.