Tech jobs
Job listings
Data Engineer and Report Developer
Designs and maintains enterprise data warehouses and builds Power BI reports for a government department using SQL Server, Microsoft Fabric, and ETL pipelines.
AI & Data Engineer
Build and deploy agentic AI systems, RAG pipelines, and scalable data platforms using LLMs (GPT, Gemini, Claude), vector search, and cloud infrastructure (AWS/GCP) with strong production engineering standards.
Senior Data Engineer - GCP, BigQuery & Airflow (Remote)
The Senior Data Engineer will design and develop scalable data pipelines within the Google Cloud Platform environment. The role requires expertise in Python, SQL, BigQuery, and orchestration tools like Apache Airflow to support cross-functional business projects.
Data Engineer (Snowflake,Cloud)
The Data Engineer will design, develop, and maintain Snowflake data pipelines and AI/ML solutions while collaborating with cross-functional teams. The role involves optimizing data models, ensuring data integrity, and managing migrations from on-premise systems to the cloud.
Data Engineer - GCP Pipelines, Quality & AI Readiness
Designs and operates GCP-based data pipelines for analytics, compliance, and AI readiness in a regulated fintech environment.
Data Engineer
Builds and maintains data pipelines on GCP (BigQuery, Kafka, Airflow) to power IG Group’s analytics, compliance, and AI initiatives, focusing on Medallion architecture, data quality, and real-time event processing in a regulated fintech environment.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines for a healthcare-focused retail IT system, ensuring data quality and integration across Syndigo, legacy, and downstream systems.
Senior AI Platform Engineer
Build foundational platform infrastructure for production-grade AI applications, working with LLMs, RAG, AI agents, vector search, and modern data platforms (Snowflake, Databricks) using Python and SQL, based in South Africa.
Data Engineer
This Data Engineer role involves designing and maintaining scalable data pipelines and models for a healthcare-focused SaaS company. The position requires proficiency in Python, PySpark, and SQL to support internal reporting and product development in a remote-first environment.
Manager, Data Platform Governance & Operations
Leads enterprise data governance and platform operations for Snowflake/AWS, shaping strategy, security, compliance, and cost management while mentoring a technical team to enable self-service data access and AI/ML governance.
Data Engineering Consultant — Build & Optimize Pipelines
The Data Engineering Consultant designs, builds, and maintains data pipelines and services for client analytics solutions. They translate architectural requirements into technical components while ensuring data quality and lineage.
Senior Data Scientist
Senior Data Scientist bridging ML research and production, owning end-to-end pipelines, observability, and platform reliability for LLM/agent systems at an AI-first software company.
Software Engineer (Data Platforms & Automation)
Builds scalable data platforms and automation pipelines for a fintech client, focusing on ETL, search, analytics, and infrastructure optimization.
Azure Could Platform Infrastructure Engineer
Designs and implements enterprise-grade Azure cloud infrastructure for data, analytics, and AI workloads using Terraform and Azure DevOps, ensuring scalability, security, and automation.
C-BRAIN Technical Product Manager
The C-BRAIN Technical Product Manager at Washington University in St. Louis manages technical product development for a healthcare and AI-focused initiative. This is a remote, full-time position based in the United States.
C-BRAIN Data Engineer
The C-BRAIN Data Engineer role at Washington University in St. Louis involves managing and processing data for research initiatives. This is a remote position based in the United States.
Senior Data & AI Engineer (Athens, Greece)
The Senior Data & AI Engineer designs and builds data engineering, cloud, and generative AI applications while advising clients and presenting insights to stakeholders. The role involves end-to-end data solution development and collaboration with project teams.
Hybrid Data Platform & AI Engineer: Automation & Insights
Builds and optimizes data pipelines, maintains Spenderlog, ensures data quality, and develops AI-driven automation for smarter business insights.