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Data Steward

OLIVER JAMES ASSOCIATES in BRUSSEL
time Online sinds 17 oktober 2024 - Vaste jobs
Your expertise will help drive data driven insights and decisions that enhance our energy production and distribution processes.Key Responsibilities:Data Governance: Implement and enforce data governance policies, procedures, and standards to ensure the proper management and usage of data assets across the organization.Data Quality: Monitor and ensure data accuracy, consistency, completeness, and integrity across various systems, with a focus on key energy related datasets (e.g., power generation, consumption, grid data).Metadata Management: Maintain comprehensive metadata documentation, data dictionaries, and lineage to ensure all stakeholders have a clear understanding of data sources and transformations.Compliance: Ensure all data management practices adhere to regulatory requirements, such as GDPR, energy market regulations, and internal data protection policies.Collaboration: Work closely with data engineers, analysts, and business users to ensure that data is available, accessible, and aligned with business objectives.Data Issue Resolution: Proactively identify and resolve data related issues, coordinating with technical teams for remediation and ensuring timely and accurate data availability.Reporting & Monitoring: Create and manage dashboards and reports to track data quality metrics, identifying trends and areas for improvement.Data Stewardship: Promote best practices in data stewardship and act as a key advocate for data driven decision making within the energy sector.  

Machine Learning Engineer

SOPRA STERIA in DIEGEM
time Online sinds 28 oktober 2024 - Vaste jobs

We’re seeking passionate colleagues who are eager to push the boundaries in digital transformation and technology consulting.At Sopra Steria, you’ll have the opportunity to grow your skills in a constructive, collaborative team environment, working on impactful projects that drive change for our clients.If you thrive on challenge and meet (most of) the qualifications below, we look forward to your application!

You’ll have knowledge and experience of the following:

  • At least 3 years of experience as a Machine Learning Engineer, Data Scientist, MLOps Engineer, or in a similar position
  • Strong software engineering background
  • Experience deploying machine learning in production
  • Experience with experiment tracking, models monitoring, and deployment strategies
  • Ability to write production ready code in Python
  • Experience with CI/CD pipelines and understanding of Infrastructure as Code
  • Knowledge of containers and container orchestration
  • Master software engineering best practices and software release cycle
  • Solid understanding of Linux and in depth knowledge of at least one cloud provider
  • Knowledge of big data technologies such as Apache Spark, Kafka
  • Able to coach others and give technical advice and direction
  • Experience building, scheduling and maintaining ML pipelines
  • Able to work independently, prioritize multiple stakeholders and tasks, and manage work time effectively
  • Master or Ph.D in Machine Learning, Artificial Intelligence, Computer Engineering, or related field
  • You are proficient in English, knowledge of Dutch and/or French is a plus