Why AIS?

When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success.

• Employee Ownership: Your contributions directly impact the company’s success, and you share in its achievements.

• Continuous Learning: Access to resources, training, and mentorship to support your professional growth.

• Inclusive Culture: A workplace where diversity is celebrated, and everyone’s voice is valued.

• Mission-Driven Work: Engage in projects that make a meaningful difference for our clients and communities.

What are we looking for?

At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles.

Working@AIS

At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Data Analytics Engineer.


• Core Knowledge & Skills: Writes complex SQL; models data; builds and maintains ETL/ELT pipelines; applies Python/R and BI tools; works with data warehouses and introductory cloud services; conducts intermediate statistical and ML analyses.

• Work & Complexity: Designs pipelines and optimizes performance; addresses moderate data quality and integration issues; directly improves project efficiency and reliability.

• Quality & Independence: Produces high-quality analyses and reproducible results; operates independently within defined parameters; suggests process enhancements.

• Teamwork & Communication: Partners with cross-functional teams; presents findings to stakeholders; establishes feedback loops; begins mentoring juniors.

• Consulting & Engagement: Consults on analytics projects, elicits needs, proposes solutions, and documents outcomes.


As your initial project assignment, you will support the unique needs of our client as a Data Engineer.



Project Summary

We are looking for a mid-level Data Engineer with 4-6 years of experience

to build and support modern data solutions using Microsoft Fabric and the Azure data ecosystem.

The role is primarily hands-on and will involve developing reliable data pipelines, transforming and modeling data for analytics, and supporting scalable lakehouse-based solutions. The ideal candidate should have strong data engineering fundamentals, solid SQL skills, and practical experience with Microsoft Fabric.

Key Responsibilities

• Build and maintain data ingestion pipelines from relational databases, APIs, files, SaaS applications, and cloud storage sources.
• Develop transformation workflows across Bronze, Silver, and Gold layers within Microsoft Fabric.
• Create curated analytical datasets and dimensional models for downstream reporting and analytics.
• Implement incremental data processing, validation, error handling, and data quality checks.
• Develop reusable and maintainable data engineering components, including metadata-driven patterns where appropriate.
• Support data workloads across Fabric Lakehouse, Warehouse, Pipelines, and Notebooks
• Monitor and troubleshoot pipeline failures, data issues, and performance bottlenecks.
• Participate in code reviews, testing, documentation, and deployment activities.
• Work with architects, BI developers, analysts, and source-system teams to translate business requirements into data solutions.
• Follow engineering standards for security, source control, CI/CD, observability, and production support.

Required For This Opportunity

• Data Engineering, Data Platform, or BI
• Engineering roles.
• Strong hands-on experience with SQL and relational data concepts.
• Practical experience with Microsoft Fabric, particularly:
• Data Factory / Pipelines
• Lakehouse
• OneLake
• Notebooks
• Warehouse
• Experience with Spark, PySpark, or Spark SQL.
• Good understanding of Delta Lake and lakehouse architecture.
• Experience designing and implementing ETL/ELT and incremental data processing.
• Good understanding of Medallion Architecture and layered data transformation patterns.
• Experience with dimensional modeling, including facts, dimensions, and star schemas.
• Working knowledge of Git and CI/CD practices.
• Good understanding of data quality, troubleshooting, logging, and production support.

Nice to Have Skills

• Experience with Azure services such as Key Vault, Entra ID, and Azure DevOps.
• Familiarity with Power BI, Semantic Models, and Direct Lake.
• Experience with CDC, Change Tracking, or other incremental ingestion techniques.
• Familiarity with Fabric security, governance, lineage, and Microsoft Purview.
• Experience integrating data from platforms such as Salesforce.
• Microsoft Fabric or Azure data certifications.