Senior Data Engineer - Databricks & Azure Pipelines

MACHINE LEARNING TECHNOLOGIES LLC; New York (NY); On-site; USD 150,000 - 210,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in New York seeks a seasoned Data Engineer to design and maintain data pipelines in Azure Databricks and Azure Data Factory for trading and analytics. You will ingest Bloomberg market data, ensure data quality, and collaborate with operations and infrastructure teams to resolve issues while advancing data workflows.

A strong background in Python and SQL is required, with 10+ years in financial services data engineering.

Qualifications

• 10+ years of experience in data engineering or production support within financial services or trading environments.
• Hands-on experience with Azure Databricks, Azure Data Factory, and Azure Storage, Logic Apps, Fabric.
• Strong Python and SQL programming skills.
• Experience with Bloomberg data feeds (BPIPE, TSIP,SFTP).
• Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.

Responsibilities

• Manage and support batch processes and data pipelines in Azure Databricks and Azure Data Factory.
• Integrate and process Bloomberg market data feeds and files into trading or analytics platforms.
• Monitor, troubleshoot, and resolve data and system issues related to trading applications and market data ingestion.
• Develop, automate, and optimize ETL pipelines using Python, Spark, and SQL.
• Manage FTP/SFTP file transfers between internal systems and external vendors.
• Ensure data quality, completeness, and timeliness for downstream trading and reporting systems.
• Collaborate with operations, application support, and infrastructure teams to resolve incidents and enhance data workflows.

Skills

Python programming

SQL programming

Data pipelines

Batch processing

Tools

Azure Databricks

Azure Data Factory

Azure Storage

Logic Apps

Fabric

Bloomberg data feeds

Job description

MACHINE LEARNING TECHNOLOGIES LLC in New York seeks a seasoned Data Engineer to design and maintain data pipelines in Azure Databricks and Azure Data Factory for trading and analytics. You will ingest Bloomberg market data, ensure data quality, and collaborate with operations and infrastructure teams to resolve issues while advancing data workflows.

A strong background in Python and SQL is required, with 10+ years in financial services data engineering.