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Cloud Engineer
The Cloud Engineer builds and maintains scalable data solutions on Azure and AWS using Databricks, Spark, and Python. The role focuses on data ingestion, pipeline development, and supporting FinOps initiatives through cross-functional collaboration.
Senior Cloud Engineer
The Senior Cloud Engineer designs and supports scalable cloud data platforms using Azure, AWS, and Databricks. The role focuses on building ETL/ELT pipelines, API integrations, and automation to support FinOps and enterprise data initiatives.
Associate, Analytics Engineer
Analytics Engineer building trusted data transformation layers (SQL, dbt) in a modern data warehouse to power BI, AI, and reporting across a real estate portfolio company. Fully on-site in Chicago 5 days a week.
[LTA-TRO] SENIOR/ EXECUTIVE DATA ENGINEER, TRAFFIC & ROAD IT
Data Engineer owning and scaling data infrastructure for traffic and road IT systems, building ETL pipelines and driving the data lifecycle on AWS cloud within agile squads at a government transport authority.
AI Ops - AI/ML Engineer
Build and operate the AI engine behind root cause analysis for an enterprise platform — owning the vector database (pgvector), embedding pipelines, RAG retrieval layer, Claude-based prompt engineering, confidence scoring, and evaluation frameworks using Python, FastAPI, and Pydantic.
Lead Data Scientist
Lead a team of data scientists at LSEG in Bangalore to design, deploy, and optimize production-grade AI/ML solutions—including NLP, LLMs, and RAG—using Python, TensorFlow/PyTorch, and Azure/AWS for financial analytics workflows.
.NET Full Stack Engineer, AVP
This Associate Vice President role involves leading the design and development of scalable, cloud-native data solutions using .NET Core, C#, and Angular. The engineer will build data pipelines, modernize monolithic applications, and implement automation within a financial services environment.
Advanced Analytics Engineer
The Advanced Analytics Engineer will design and build scalable data pipelines and workflows to support AI and machine learning initiatives at Oliver Wyman's new Lisbon hub. The role requires expertise in Python, PySpark, and Databricks to process structured and unstructured data within a hybrid work environment.
Data Product Manager
The Data Product Manager oversees the end-to-end lifecycle of data products, bridging business needs with technical solutions to enable data-driven decisions. The role involves collaborating with cross-functional teams to build scalable, governed data products using AWS, SQL, and Python.
Senior Data Product Manager
The Senior Data Product Manager leads the end-to-end lifecycle of data products, bridging business requirements with technical execution in AWS environments. They collaborate with cross-functional teams to deliver scalable, governed data solutions that support analytics and AI-driven decision-making.
Senior IT Data Analyst
Designs and develops data services for Fidelity’s enterprise analytics platform, collaborating across the data lifecycle to deliver insights and support analytics initiatives using SQL, data modeling, and governance tools.
Software Developer, Metadata
Build and maintain backend services for RBC’s metadata management platform using Python, MongoDB, and RESTful APIs to support data governance and compliance in financial services.
Data Engineer 3 - TS clearance required - Wash DC area
Builds and maintains scalable ETL pipelines for ingesting, transforming, and loading structured/unstructured data while collaborating with cross-functional teams to optimize workflows and ensure data accuracy in a government-adjacent environment.
Data Engineer
Builds and optimizes scalable data pipelines for Moody’s risk-assessment platforms, focusing on Spark-based ETL, graph analytics, and data quality in cloud environments (AWS/Databricks).
Senior Data Engineer - India
The Senior Data Engineer will design, build, and maintain scalable ETL/ELT pipelines to support analytics and AI/ML workloads. The role focuses on creating observable, reliable data systems using modern cloud platforms and tiered data architectures.