Position Details: (KP #17) Data Integration Engineer

Description:

Data Integration Engineer | Full-Time | Ref. #017

About OIIS

At OIIS, we help technology companies grow faster through effective and well-designed recruitment processes. We operate in a tech talent & RPO model, combining expertise, experience, and a partnership-driven approach to collaboration with both clients and candidates.

About the Role

The focus of this role is centralizing data and reporting across the organization. This role suits someone with a firm grasp of cross-functional business processes, a self-motivated work ethic, and the ability to deliver quality outcomes in a fast-paced environment.

You will be responsible for designing, developing, and maintaining scalable, robust data integration solutions that support organizational decision-making and data-driven initiatives, working across structured and unstructured data with a strong command of Microsoft technologies.

What You'll Do

• Design, develop, and maintain scalable ETL pipelines integrating data from multiple sources across the business.
• Build and manage robust data models supporting BI, analytics, and business performance monitoring.
• Develop interactive Power BI dashboards and reports using the full Microsoft stack.
• Monitor, optimize, and troubleshoot data processing and storage solutions for performance and reliability.
• Collaborate with data analysts, BI developers, and business stakeholders to translate requirements into data solutions.
• Maintain clear technical documentation for workflows, ETL processes, and data models.

What We're Looking For

• Undergraduate degree in Computer Science, Information Technology, Data Science, or a related field.
• 3+ years of proven experience as a data engineer or in a comparable role.
• Extensive experience with Microsoft Azure or Microsoft Fabric architecture.
• Strong background in data integration, ETL processes, and data modeling.
• Proficiency in SQL and other database query languages.
• Experience with data warehousing concepts and technologies.
• In-depth working knowledge of Power BI, including performance best practices for large datasets, dimensions, cubes, measures, and partitions.
• Strong analytical and problem-solving skills with a detail-oriented mindset.
• Excellent communication skills and ability to collaborate across teams.
• Ability to manage multiple projects and priorities in a fast-paced environment.
• Flexibility to occasionally work outside regular hours to support go-lives or critical incidents.

Nice to Have

• Programming experience in Python.
• Familiarity with additional cloud platforms beyond Azure.
• Experience working within a global or multi-site enterprise environment.

What We Offer

• A dynamic, international working environment within a global market leader.
• Opportunity to shape data infrastructure at scale across a fast-growing organization.
• Structured onboarding and collaboration with senior engineers and cross-functional stakeholders.

Perform an action: