Junior Data Engineer

Agility Partners is seeking a qualified Jr Data Engineer to fill an open position with one of our clients. This is an exciting opportunity to grow your data engineering career while working with modern tools like dbt, Snowflake, and Power BI in a collaborative, Agile environment. You’ll gain hands-on experience building data pipelines, supporting reporting solutions, and applying data quality practices that directly impact business decisions. This role is ideal for someone eager to learn, leverage generative AI tools, and build a strong foundation in enterprise data operations.In this role, you will support the development and maintenance of data pipelines, assist with ETL/ELT processes, and contribute to reporting and analytics efforts. You will collaborate closely with team members, participate in Agile ceremonies, and follow established data governance and SDLC practices while learning the business context that drives data usage.Responsibilities:Build and maintain simple data pipelines using tools such as dbt, IBM DataStage, and Power Platform with team guidanceWrite SQL queries and perform data transformations across platforms like DB2 and SnowflakeSupport data ingestion, validation, and loading processes while applying data quality checksMaintain Power BI reports, troubleshoot issues, refresh data, and implement minor dashboard enhancementsThe Ideal Candidate:Foundational experience with SQL and relational databases (DB2, Snowflake, or similar)Experience working with one or more of these Microsoft Power Products (PowerBI, Power Automate, Power Apps)Basic understanding of ETL/ELT processes and data pipeline conceptsFamiliarity with Power BI or other data visualization toolsExposure to data engineering tools such as dbt, DataStage, or similar technologiesUnderstanding of SDLC practices, including version control, CI/CD, and Agile methodologiesAbility to write clean, testable, and reusable code with basic testing knowledge (unit/integration)Strong problem-solving skills with a willingness to learn and collaborate in a team environmentReasons to Love It:Opportunity to work with modern data tools and emerging technologies like generative AICollaborative team environment with mentorship and growth opportunitiesExposure to enterprise-level data processes, governance, and compliance standardsHands-on experience contributing to impactful data solutions in a structured Agile setting