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Microsoft Business Intelligence Expert - MS Fabric

Devoteam -
Machelen

Soumettre votre candidature

Détails de l'emploi

CDI | Temps plein

Avantages

Voiture de société
Chèques repas
GSM de fonction

Qualifications

Français
Power BI
Modélisation des données
Azure
Data lake
Spark
Git
Anglais
Google Cloud Platform
SQL
AWS
Machine learning
Scala
Développement logiciel
ServiceNow
Agile
IT
Data science
Intelligence artificielle
Python

Description complète du poste

About Devoteam:

Devoteam is a leading consulting firm focused on digital transformation. We help our clients leverage technology to achieve their business goals.

Our longstanding partnerships with leaders like AWS, Google Cloud, Microsoft, and ServiceNow amplify our capabilities, allowing us to deliver top-tier expertise and award-winning services. We complement these partnerships with in-depth Cyber, Data & AI, Software development and multi cloud expertise.

For 30 years, we have always been guiding our customers on the next tech wave . Devoteam has guided organizations through the Internet and cloud. The next revolution? AI.

With 11,000 tech natives working in 25+ countries, we bring you highly skilled IT experts across Europe

At Devoteam, tech is in our DNA , and it’s the people we empower with tech. Now, with responsible AI, we’re ready to unlock a future where technology drives positive change.

Job Summary:

We are seeking a highly skilled and experienced Microsoft Business Intelligence (BI) Expert with specialized knowledge in Microsoft Fabric . The ideal candidate will be responsible for designing, developing, and deploying robust BI solutions that leverage the end-to-end analytics capabilities of the Microsoft Fabric platform. You will play a crucial role in transforming raw data into actionable insights, enabling data-driven decision-making across the organization.

Key Responsibilities:

Design, build, and maintain scalable data pipelines and data models within Microsoft Fabric, utilizing components like OneLake, Data Factory and Data Engineering .
Develop and optimize data warehousing solutions using Data Warehouse in Fabric.
Create compelling and insightful reports, dashboards, and visualizations using Power BI , seamlessly integrated with Fabric datasets.
Implement and manage robust data governance , security, and compliance best practices within the Fabric environment, potentially leveraging tools like Microsoft Purview.
Collaborate with business stakeholders to understand their requirements and translate them into technical BI solutions.
Leverage Data Science and Real-Time Analytics capabilities within Fabric to deliver advanced analytics and predictive insights.
Utilize Data Activator to monitor data and trigger actions based on defined patterns and conditions.
Work with Lakehouse architecture to unify data storage and enable diverse analytical workloads.
Ensure data quality, integrity, and consistency across all BI solutions.
Provide technical expertise and guidance on Microsoft Fabric to other team members and stakeholders.
Stay up-to-date with the latest advancements in Microsoft Fabric, related Azure data services, and emerging AI assistant technologies like co-pilot.
Troubleshoot and resolve issues related to data, reports, and BI solutions within the Fabric ecosystem.

Required Skills and Experience:

Proven experience as a BI Developer, Data Engineer, or similar role with a strong focus on Microsoft technologies.
In-depth, hands-on experience with Microsoft Fabric , including its core components:
- OneLake (understanding of the unified data lake concept)
- Data Factory (data ingestion, transformation, and orchestration)
- Synapse Data Engineering (Spark-based data processing)
- Synapse Data Warehouse (modern data warehousing)
- Power BI (data modeling, DAX, report and dashboard development)
Strong proficiency in SQL and experience with query optimization.
Experience with Python or Scala for data manipulation and automation is highly desirable.
Solid understanding and practical experience in implementing data governance principles.
Understanding of data modeling concepts (e.g., dimensional modeling, star schemas).
Familiarity with Azure data services (e.g., Azure Data Lake Storage, Azure Synapse Analytics (standalone), Azure SQL Database) and concepts of data governance tools such as Microsoft Purview.
Excellent analytical and problem-solving skills.
Strong communication and collaboration abilities.
Ability to work independently and manage multiple tasks effectively.
Fluent in English and either French or Dutch, or both.

Preferred Qualifications:

Microsoft certifications related to Data Engineering, Power BI, or Azure (e.g., Microsoft Certified: Fabric Analytics Engineer Associate, Power BI Data Analyst Associate).
Experience with Real-Time Analytics and Data Activator in Fabric.
Knowledge of Data Science and machine learning concepts.
Familiarity with other data platforms such as Databricks.
Experience with Microsoft Purview for implementing and managing data governance.
Awareness or early adoption experience with AI-powered developer tools, such as co-pilot functionalities within the Microsoft ecosystem.
Familiarity with version control systems like Git.
Experience working in an Agile development environment.

#techies in our minds, #creatives in our hearts, #change in our DNA.

Why choose us?

Cutting-edge Technology : Embrace the latest advancements in IT and digital technologies as we constantly innovate to stay ahead of the competition. Our commitment to adopting state-of-the-art tools and methodologies ensures that you'll work on projects at the forefront of the industry.

Entrepreneur mindset : We value our people over processes. You will develop and grow in an agile and ambitious company where it’s okay to take risks, make mistakes and change plans to find transformative solutions. At the same time, you will learn from the best, building relationships and skills that will last your entire career.

Endless Learning Opportunities : We value personal and professional growth. Through workshops, conferences, and certifications, we offer the resources needed to expand your skill set and reach new heights in your career.

Connect with amazing people : You will become part of a network of +11,000 Devoteamers spread over 20 countries.

Collaborative Culture : Teamwork is at the heart of our organisation. You'll be working side by side with a diverse group of IT experts who share your passion for excellence and will inspire you to think outside the box.

Impactful Projects : Tackle real-world challenges that matter! From revolutionising business processes to developing innovative solutions, you'll have the chance to make a genuine and positive impact on our clients and the community.

Work-Life Balance : We believe in a healthy work-life balance, ensuring that you have time to unwind, pursue your hobbies, and spend quality time with loved ones.

Inspiring and eco-friendly workplace : We just moved to an amazing new building. We believe an inspiring workspace fuels creativity and fosters a positive work culture, allowing our employees to reach their full potential. The Wings building is also designed with eco-friendly features and energy-efficient systems. By reducing our ecological footprint, we are contributing to a greener future and aligning our business practices with our environmental values. The building is also very easily accessible by public transportation.

Competitive package : We offer a competitive salary package with additional benefits like a company car, smartphone, medical insurance, pension plan, net allowance, laptop, meal vouchers, etc. We review our salary grid twice a year to ensure we are in line with the market.

At Devoteam, we combine strong values – respect, frankness, ambition, entrepreneurship & collaboration - with a fun environment that empowers you to innovate and succeed.

>>> Does all this sound compelling to you? Go for it and click that apply button!

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data engineer emplois - leuven, vlg

Microsoft Business Intelligence Expert - MS Fabric

IT Expert

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Microsoft Business Intelligence Expert - MS Fabric

Senior Consultant in Data science

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