Data Engineer
Company overview:
Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail.
Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight.
We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work.
Note: Please submit your resume in English, as all application materials must be in English for review and consideration.
Position Overview
Blue Orange Digital is seeking a Mid‑Level Data Engineer to join a 26‑week enterprise data warehouse implementation for a global commodities trading and supply chain company, embedded full‑time from Week 3 through Week 22.
You will build and maintain Bronze and Silver layer pipelines on Microsoft Fabric, implementing ingestion from multi‑source ERP and CTRM systems and transformations that feed Gold‑layer data products across trading, risk, and finance domains.
Working within a project‑based delivery team alongside a Senior Data Engineer and Solutions Architect, you will contribute to a structured, phase‑gated delivery with clear milestones and real production output.
Responsibilities
Implement Bronze ingestion pipelines from source systems including CTRM instances (Irely) and ERP/SAP S/4HANA feeds using Microsoft Fabric Data Factory
Build Silver‑layer transformation logic in Fabric notebooks using PySpark and SQL on Delta Lake tables, covering cleansing, standardization, and business rule application
Support development of Gold‑layer outputs aligned to Trader P&L, Global Position, and Financial Consolidation data products
Write and maintain pipeline code on OneLake/Lakehouse following medallion architecture patterns (Bronze/Silver/Gold) established by the Technical Lead
Participate in code reviews and apply BOD and engagement‑level coding standards consistently
Conduct unit and integration testing for pipeline outputs; document data flows and transformation logic
Coordinate with client‑side Fabric/Azure engineers to align ingestion patterns and shared schemas
Support documentation of data lineage, transformation logic, and pipeline metadata throughout the engagement
Requirements
5–6 years of data engineering experience with hands‑on pipeline development across multi‑source environments
Proficiency with Microsoft Fabric (OneLake, Lakehouse, Notebooks, Data Factory) or a comparable Azure data stack (ADF, ADLS Gen2, Databricks/Spark)
Solid SQL and PySpark skills with working knowledge of Delta Lake table formats
Experience building end‑to‑end pipelines for multi‑source integration
Familiarity with Bronze/Silver/Gold medallion architecture patterns
Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)
Preferred Qualifications
Exposure to ERP or CTRM source system data (SAP, Irely, or similar commodity/trading platforms)
Microsoft Azure data certification (DP‑203 or equivalent)
Experience in commodity trading, logistics, or financial services data environments
Basic
Salary: $ 5,500 - 7,200 [ USD ] monthly
Background checks may be required for certain positions/projects.
Blue Orange Digital is an equal-opportunity employer.
- Department
- Engineering
- Role
- Data Engineer
- Locations
- Multiple locations
- Remote status
- Fully Remote
- Monthly salary
- $5,500 - $7,200
About Blue Orange Digital
Blue Orange Digital is a data and AI consulting firm that helps companies turn complex data into real business outcomes. We partner with organizations across industries to design and deploy scalable data infrastructure, advanced analytics, and AI-powered solutions. Our team is fully remote, globally distributed, and driven by curiosity, impact, and innovation.