Tech jobs
Job listings
Platform Architect
Designs and optimises an enterprise Azure Databricks data platform, focusing on Serverless compute, FinOps, and migrating legacy POSIT/RStudio workloads to modern data solutions.
Data Analyst (Early Careers)
Build and maintain data pipelines, dashboards, and reports to deliver insights and recommendations using SQL, Airflow, DBT, and Looker.
Senior Software Engineer (Golang, Storage) - remote in the US
Designs and builds storage control-plane services, drivers, and tooling in Go to integrate high-performance storage (e.g., Dell PowerScale, VAST) with Kubernetes-based AI/compute workloads across hybrid, edge, and air-gapped environments using Mirantis K0rdent stack.
Senior L2/L3 Production Support Data Engineer (Python + SQL + AWS)
The Senior L2/L3 Production Support Data Engineer resolves critical data incidents, optimizes SQL/AWS environments, and automates operational tasks to ensure system reliability for clients.
Remote Kafka Real-Time Data Engineer
Designs and maintains Kafka-based real-time data pipelines for enterprise systems, ensuring scalability, high availability, and seamless integration with cross-functional teams.
Senior Data Engineer L2 or Manager (GCP + Snowflake)
Designs and maintains scalable Snowflake/GCP data pipelines, migrates enterprise data platforms, and builds governed data ecosystems with metadata-driven architectures. Focuses on documentation, data modeling, and enabling data products for analytics and reporting.
GCP Data Architect & Engineer — Scalable Pipelines (Hybrid)
Designs and builds secure, scalable GCP-based data pipelines that turn raw data into business insights while ensuring governance and compliance.
Senior AI Engineer (Chatbots & Voicebots)
Owns end-to-end development of chatbot/voicebot solutions using LLMs, NLU, and agentic AI, from prompt engineering to system integration, optimization, and safeguarding for enterprise clients.
Senior AWS Data Engineer - PySpark, ETL & Lakehouse
Design and maintain scalable AWS data pipelines using PySpark and Python, building ETL/ELT workflows with Glue and Step Functions.
Analytics Data Engineer: Lakehouse & Databricks Expert
Builds and maintains data pipelines, models, and dashboards using SQL, Python, and Databricks to support analytics for business and actuarial teams at Aon plc.
BI Engineer/ Data Engineer
The BI/Data Engineer will design, develop, and maintain scalable data pipelines and models to support business intelligence and analytics. The role focuses on optimizing SQL and Spark SQL processes, managing data warehouses, and ensuring high-quality data integration.
Senior Data Engineer: Build Scalable Pipelines & Insights
Designs and maintains scalable data pipelines and architectures, assembling complex datasets to improve data delivery, infrastructure, and analytics tools while supporting ML development using SQL and big data technologies.
BI & Data Engineer: Build Scalable Analytics
Designs and builds scalable data pipelines and warehouses to power analytics and BI dashboards using SQL, Spark, and ETL tools.
Analytics Data Engineer: Lakehouse & Data Pipelines
Design and implement analytics workflows and data pipelines in SQL, Python, and Databricks for Aon’s lakehouse architecture to power dashboards and reports.
Software Developer
Develops and maintains core risk systems for a quantitative hedge fund, including trade data pipelines, real-time risk controls, and P&L monitoring using Python and SQL.
Software Engineer
The Software Engineer will develop applications for energy optimization and control logic on the Capture Controller, bridging operational technology with cloud infrastructure. The role primarily uses Go and Python to manage data exchange between PLC systems and cloud services.
Senior Data Engineer - Revenue Data Platform
Builds and maintains high-throughput, mission-critical data pipelines for billing, cost attribution, and revenue systems at scale using Spark, Airflow, and related tools.
Staff Product Analyst, Vendor Growth
Staff Product Analyst driving vendor growth at Delivery Hero by analyzing partner behavior, designing A/B tests, and building scalable analytics to improve vendor autonomy and operational efficiency.