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Datashift - Data Product Analyst

Datashift in
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Online sinds 23 dec. 2024 - gewijzigd sinds 15 jan. 2025
This role bridges the gap between business needs and technical data teams, ensuring data products are reliable, discoverable, and business driven.  The ideal candidate is value oriented, has strong analytical capabilities, and thrives in cross functional environments.As you grow in this role, you will have the opportunity to evolve into a Data Product Owner, taking ownership of data product vision, strategy, and stakeholder alignment.   Key Responsibilities   ·        Gather and analyze functional requirements to build and manage data products that meet business needs.·        Assure data quality and discoverability through effective management of data contracts and processes. ·        Manage the data product backlog, prioritize based on value, and align with client business goals.·        Collaborate closely with engineers, data scientists, analysts, and business stakeholders to develop, deploy, and adopt data products. ·        Act as the bridge between business and technical teams, translating business priorities into actionable data tasks.·        Contribute to data democratization by improving data accessibility and usability across the organization.   Skills & Qualifications   ·        You have at least 2 years of experience in a similar role; ·        Strong problem solving skills and value driven mindset to prioritize work effectively; ·        Technical acumen: Understanding of data platforms, analytics tools, and data governance principles; ·        Business acumen: Ability to align data initiatives with client business objectives; ·        Effective stakeholder management: Communicate seamlessly with both technical and non technical audiences; ·        Experience working with Agile methodologies (e.g., backlog management, sprint planning); ·        Analytical mindset with attention to detail and a passion for managing data as a product; ·        Fluent in English, and preferably also Dutch.  What We Offer   ·        Exciting Growth Path: A clear opportunity to evolve into a Data Product Owner, taking on strategic responsibilities such as roadmap creation, vision alignment, and product adoption. ·        Diverse Client Portfolio: Work on end to end data product initiatives across industries, gaining exposure to cutting edge projects.·        Consulting Edge: Be part of a fast growing consulting company that values innovation and problem solving over rigid structures.

Machine Learning Engineer

Sopra Steria in DIEGEM
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Online sinds 28 okt. 2024

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