Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Data Engineer building and maintaining scalable batch and real-time data pipelines for an IoT-enabled worker safety platform, using AWS data services, Python/SQL/Java/Scala, Kafka, Terraform, and AWS Glue.
Lead the architecture and delivery of low-latency, event-driven data pipelines for HSBC’s global markets, using Kafka/Flink/Spark on Google Cloud to power real-time financial crime prevention.
Software Engineer in the R&D team developing IoT and automotive telematics services — designing high-reliability stream processing systems and evolving toward microservices using Java, Kotlin, Python, Apache Kafka, and Apache Flink.
This role involves developing data pipelines, streaming architectures, and AI/ML solutions for a company's internal product. The position requires strong experience in Big Data technologies, cloud infrastructure, and a high level of English proficiency.
As the first dedicated data engineer, you will architect and own the full data stack, including ingestion, transformation, and warehouse infrastructure for a real-money gaming platform. You will work with Python, SQL, dbt, and orchestration tools to build reliable pipelines that support quantitative strategy and production systems.
Senior Data Engineer designing and building scalable data pipelines, driving cloud migration to Azure, and transforming large-scale datasets. Core tech: Azure Fabric, Azure Databricks, PySpark, Python, SQL, DBT, Snowflake, Docker, Kubernetes.
Build and maintain trusted, well-modeled datasets in BigQuery using dbt to power analytics and ML across a fintech platform, ensuring data correctness and collaborating with engineers and stakeholders.
About Reward Reward, part of the Rezolve Ai Group, is transforming the way people, banks, brands and retailers connect through everyday commerce. Operating across 15+ markets throughout the UK, Europe, the Middle East…
QA medewerker in de apotheek van Radboudumc die het kwaliteitsmanagementsysteem opzet, verbetert en borgt, met focus op GMP-compliance, audits, deviatierapportages en kwalificatie/validatie, nauw samenwerkend met de sectie Radiofarmacie.
At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew. We seek to ignite that passion by setting high standards, championing teamwork, and creating…
The DevOps Engineer will support cloud infrastructure, CI/CD pipelines, and containerized environments for various client projects. The role involves using tools like Terraform, Kubernetes, and various monitoring platforms to ensure system reliability and security.
Backend Python developer building scalable microservices for a social sports prediction platform using Django, Kafka, and AWS.
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented…
Builds and optimizes a high-performance, scalable data lakehouse architecture with sub-minute latency, managing CDC pipelines, distributed query engines, and AI-driven workflows to support fintech payments and user analytics.
Designs and maintains Kubernetes-based data platforms using GitOps and IaC, ensuring high reliability and automation for DBS Bank’s fintech infrastructure.
Builds and maintains TikTok’s offline/real-time data warehouses (PB-scale) to process billions of user records, designing scalable data pipelines, analytics systems, and tools for business insights.
Designs and optimizes scalable data pipelines and warehouses on Alibaba Cloud (MaxCompute, Hologres) to ingest, transform, and analyze large-scale data while ensuring quality, performance, and collaboration with cross-functional teams.
Core Languages: Proficiency inPython and SQL (specifically for time-series databases). Time-Series Data: Experiencewith databases suited for sensor data (e.g., InfluxDB, TimescaleDB, orIoT-specific data stores).…
Designs and builds scalable real-time data pipelines and streaming platforms for fintech clients, focusing on high-throughput, low-latency event processing and real-time analytics.
We couldn't check your fit for this role — add a CV to your profile to see it next time.
