ETRM Data Architect

Remote  ‐ Remote

Keywords

Data Architecture Python (Programming Language) Algorithmic Trading Microsoft Azure Continuous Integration Data Transformation DevOps Trading Azure Data Factory Snowflake Data Lake Databricks Application Programming Interfaces (APIs) Architecture Unit Testing Business To Business Data Quality Energy Market Data Streaming Workflows Fastapi Pytest Real Time Data Apache Kafka Risk Management

Description

Dear Consultant,

We are looking for an experienced ETRM Data Architect with strong expertise in Python, Azure Data tools, and trading system integrations. This role requires hands-on development experience in data transformation and architecture within the Energy Trading and Risk Management (ETRM) domain, especially in Gas and Power trading.


Location: Poland (Remote)
Type: B2B Contract
Experience: 10+ years
Key Responsibilities:
Architect and develop data transformation workflows using Python
Build and maintain APIs and dashboards using Streamlit
Work with Azure Data Factory, Data Lake, Databricks, and Snowflake
Integrate with trading systems such as Allegro, RightAngle, Endur
Implement robust CI/CD pipelines and ensure scalable DevOps practices
Lead data architecture planning and mentor junior developers
Optimize real-time data processing and ensure data quality

Must-Have Skills:
Strong Python development and Streamlit expertise
Kafka, FastAPI, and AKS exposure
Azure Data Factory (ADF), Data Lake, Snowflake, Databricks
Unit testing with pytest/unittest
Deep understanding of ETRM data flows
DevOps and CI/CD pipeline experience

Nice-to-Have:
Hands-on experience in ETRM tools (Allegro, RightAngle, Endur)
Knowledge of power/gas trading concepts
Certifications in Azure or related tech

Qualifications:
Bachelor’s or Master’s in Computer Science or related field
Start date
ASAP
Duration
12 months
(extension possible)
From
DCV Technologies
Published at
20.05.2025
Contact person:
Marcillina Tietjen
Project ID:
2880500
Industry
Energy Industry
Contract type
Freelance
Workplace
100 % remote
To apply to this project you must log in.
Register