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Introduction

In this role, you will join high-performing delivery teams focused on building modern, scalable, and secure data platforms on Microsoft Azure. You will help organizations transform their data landscape, enabling advanced analytics, business intelligence, and cloud-native data engineering practices.

You will work with experts across industries to design efficient data integration solutions, support cloud migrations, and implement best practices for data quality, governance, and performance optimization. Leveraging Azure’s ecosystem, together with leading BI and orchestration tools, you will contribute to the creation of actionable insights from raw enterprise data.

 

A strong curiosity for cloud technologies, engineering excellence, and continuous learning will be essential as you explore modern architectures, strengthen data engineering capabilities, and deliver impactful end-to-end solutions for clients.

In this role, you'll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Rôle et responsabilités

We are looking for a skilled and motivated Data Engineer to design, develop, and maintain robust data integration, transformation, and analytics solutions within the Microsoft Azure ecosystem.

In this role, you will:

 

  • Design and build scalable ETL/ELT pipelines using Azure Data Factory and SQL Server Integration Services (SSIS).

  • Develop and optimize workflows for extracting, transforming, and loading data from diverse on-premises and cloud sources.

  • Implement data integration solutions that ensure performance, reliability, and cost-efficiency across Azure environments.

  • Design and develop SQL Server databases, including schema design, stored procedures, functions, and complex queries.

  • Conduct data quality checks, validation rules, and troubleshoot ingestion issues and pipeline failures.

  • Deploy data solutions leveraging Azure services such as Azure SQL Database, Azure Data Lake, and Azure Synapse Analytics.

  • Develop and maintain Power BI dashboards, semantic models, and analytics layers for business insights.

  • Implement data security, access control, and compliance practices within Azure environments.

  • Document data architectures, pipelines, and operational procedures to ensure long-term maintainability.

  • Collaborate with analysts, developers, and business stakeholders to support reporting, analytics, and integration needs.

Formation requise
Diplôme de fin d'études secondaires/de formation générale
Formation souhaitée
Baccalauréat
Expertise professionnelle et technique requise

  • Minimum 3 years of experience in data engineering, data integration, or database development.

  • Strong proficiency with Azure Data Factory for building and orchestrating data pipelines.

  • Solid experience developing and maintaining SSIS packages for ETL processes.

  • Advanced SQL skills, including stored procedures, functions, performance tuning, indexing, and partitioning.

  • Experience designing and developing SQL Server or Azure SQL Database solutions.

  • Hands-on experience with Power BI for dashboards, data models, and report development.

  • Working knowledge of Azure cloud services, including Azure Data Lake, Azure SQL, Synapse, and cloud security fundamentals.

  • Understanding of data warehousing, dimensional modeling, and ETL best practices.

  • Familiarity with structured and semi-structured data formats (JSON, XML, CSV, Parquet).

  • Strong analytical skills, attention to detail, and commitment to delivering high-quality data solutions.

 

  • Ability to work independently, manage priorities, and communicate effectively with both technical and non-technical stakeholders.

Expertise professionnelle et technique souhaitée

  • Microsoft certifications such as Azure Data Engineer Associate or Azure Fundamentals.

  • Experience with Azure Synapse Analytics, Azure Databricks, or large-scale data lake architectures.

  • Knowledge of Python or PowerShell for automation and data processing scripts.

  • Familiarity with version control tools such as Git or Azure DevOps.

  • Experience with Agile/Scrum environments.

  • Understanding of data governance, data security frameworks, and compliance requirements.

  • Exposure to real-time or streaming solutions on Azure.

  • Knowledge of DAX for advanced Power BI modeling and calculations.

L'unité commerciale

IBM Consulting est l'activité de conseil et de services professionnels mondiaux d'IBM, avec des capacités de pointe dans la transformation des entreprises et des technologies. Avec une expertise approfondie dans de nombreux secteurs, nous offrons des services de stratégie, d'expérience, de technologie et d'exploitation à un grand nombre des entreprises les plus innovantes et les plus précieuses du monde. Nos collaborateurs se concentrent sur l'accélération des activités de nos clients grâce au pouvoir de la collaboration. Nous croyons au pouvoir de la technologie utilisée de manière responsable pour aider les gens, les partenaires et la planète.

VOTRE VIE CHEZ IBM

In a world where technology never stands still, we understand that, dedication to our clients success, innovation that matters, and trust and personal responsibility in all our relationships, lives in what we do as IBMers as we strive to be the catalyst that makes the world work better.

Being an IBMer means you’ll be able to learn and develop yourself and your career, you’ll be encouraged to be courageous and experiment everyday, all whilst having continuous trust and support in an environment where everyone can thrive whatever their personal or professional background.

 

Our IBMers are growth minded, always staying curious, open to feedback and learning new information and skills to constantly transform themselves and our company. They are trusted to provide on-going feedback to help other IBMers grow, as well as collaborate with colleagues keeping in mind a team focused approach to include different perspectives to drive exceptional outcomes for our customers. The courage our IBMers have to make critical decisions everyday is essential to IBM becoming the catalyst for progress, always embracing challenges with resources they have to hand, a can-do attitude and always striving for an outcome focused approach within everything that they do.

 

Are you ready to be an IBMer?

À propos d'IBM

IBM’s greatest invention is the IBMer. We believe that through the application of intelligence, reason and science, we can improve business, society and the human condition, bringing the power of an open hybrid cloud and AI strategy to life for our clients and partners around the world.

 

Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

Autres détails pertinents sur le poste

IBM wants you to bring your whole self to work and for you this might mean the ability to work flexibly. If you are interested in a flexible working pattern, please talk to our recruitment team to find out if this is possible in the current working environment.