Data Engineer

About this role

At Celero, we’re building smarter, data-driven solutions to power the future of payments and we’re looking for a talented, growth-minded Data Engineer to help us do it.


As part of our expanding analytics team, you will play a key role in designing, building, and maintaining modern data infrastructure within the Microsoft ecosystem. This includes developing reliable, scalable data pipelines in Microsoft Fabric and enabling self-service analytics through Power BI to support better, faster decision-making across the organization.


This role is ideal for someone with a strong foundation in Python-based ETL, data modeling, and cloud-native data engineering who thrives in a dynamic environment and is excited to contribute to a rapidly evolving Microsoft Fabric landscape.


Responsibilities

• Design and develop scalable data pipelines using Microsoft Fabric Lakehouse, Pipelines, and Dataflows
• Build and maintain ETL/ELT processes using Python, PySpark, and Fabric Notebooks
• Ingest and transform data from diverse sources (APIs, SQL databases, flat files) into OneLake and curate clean, analytics-ready tables
• Develop and maintain semantic models and Power BI datasets to support reporting and analytics
• Partner closely with analysts, data scientists, and business stakeholders to translate requirements into high‑quality technical solutions
• Implement data quality checks, monitoring, and validation to ensure reliable and observable pipelines
• Optimize performance of transformations and queries within Fabric and Power BI
• Document data models, pipeline logic, and operational processes to ensure maintainability

Experience & Requirements
*Must‑Have Skills*

• 3+ years of experience in a data engineering or data integration role
• Hands‑on experience with components of Microsoft Fabric (Lakehouse, Pipelines, Notebooks, or OneLake) or equivalent data engineering tools with willingness to ramp up quickly
• Proficient in Python for data transformation, ...