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You’ll join a long-term project for a US client, covering web development, high-load systems, big data, AI agents, and the development of an analytics platform. What we offer: a long-term project to create an…
We’re looking for an experienced Python developer who combines strong technical expertise with team leadership and confident client communication. You’ll join a long-term project for a US client, covering web…
Build and maintain BI dashboards in Tableau, write SQL queries, and automate data workflows with Python to help teams analyze mobile marketing and audience data.
Location: Jakarta,Jakarta,Indonesia OVERVIEW We advance data science and technology to bring financial inclusion for all, on a scale never before possible. Currently, Trusting Social has become the biggest and…
Senior Software Engineer role on Microsoft's Azure Data engineering team, focusing on building the next-generation data platform for usage billing. Work involves designing and operating large-scale distributed systems using cloud infrastructure, streaming technologies, data analytics, and AI-driven operations.
Location: Ho Chi Minh City, Vietnam,, Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday…
Contract role (6+ months) placed by recruiter My Recruiter Inc. for client Fitch's Chief Data Office: a senior solution architect/data engineer who leads the technical architecture of a next-generation AWS cloud big data platform, sets data modeling and integration standards, and helps migrate legacy batch pipelines to event-based cloud solutions.
Big Data DevOps Engineer (m/f/d) in Karlsruhe, full- or part-time from 30 hours/week, joining the 'Data Pipeline as a Service' squad (~12 colleagues) within the Data Management and Governance tribe. Focus on big data and DevOps work on data pipelines.
Builds and maintains PySpark/Python ETL/ELT pipelines on Databricks across Azure and AWS, including batch and near real-time ingestion from clinical and healthcare systems into a SaaS platform, with CI/CD via Azure DevOps and a focus on data modeling, monitoring, and performance tuning.
Senior Data Engineer in Sydney building and optimising high-throughput ETL/ELT pipelines in a large enterprise data environment, using Azure Databricks, Spark (Scala), SQL and Python, with Medallion Architecture and Delta Lake, real-time streaming via Kafka, and CI/CD with Git and Azure DevOps.
Senior Data Engineer building and optimising high-throughput ETL/ELT pipelines for a large enterprise data environment in Sydney, using Azure Databricks, Spark (Scala), SQL and Python, with real-time streaming (Kafka, Spark Streaming), Medallion Architecture/Delta Lake, and CI/CD-driven operations across Azure and AWS.
Data engineer for a leading Dubai-based client, designing and running scalable ETL/ELT pipelines and Azure/Databricks data warehouse and lakehouse solutions. Day to day: Python/PySpark and SQL transformations, workflow orchestration (Data Factory, Airflow), plus data quality and governance. On-site role via consultancy Duncan & Ross.
Senior Data Engineer at ADG's Data and AI practice in Dubai, architecting scalable batch and real-time streaming pipelines on the Google Cloud Platform stack (BigQuery, Dataflow, Pub/Sub, Dataproc, Composer) using Python, SQL, Spark, Hadoop, and GenAI, while leading client project delivery and mentoring junior engineers.
DevOps engineer in Dubai (5+ years' experience) who builds CI/CD pipelines (Azure DevOps), automates deployments, and manages AWS infrastructure (EC2, Lambda, RDS) plus Kubernetes (Rancher/EKS). Core stack includes Terraform, Ansible/Chef/Puppet, security testing (SonarQube, CheckMarx), and monitoring tools like CloudWatch, Dynatrace, and Datadog.
Software developer at UAEU's Big Data Analytics Center (BIDAC) in Abu Dhabi, building and deploying AI-driven web platforms, LLM-based systems/chatbots, and data dashboards. Day-to-day spans backend APIs (Python/Flask/FastAPI), React/Dash front-ends, database integration, and MLOps/DevOps pipelines on cloud or on-premise environments.
Mid-level DevOps engineer in San Antonio automating deployments, managing Kubernetes and AWS cloud infrastructure, and running CI/CD pipelines and big data tooling (Python, Bash, Go, Hadoop, Spark, Kafka, PostgreSQL). Requires an active Top Secret clearance, US citizenship, and eligibility for TS/SCI.
Senior Data Engineer at a Singapore proprietary trading firm, building and operating the full data infrastructure for research and trading: scalable pipelines, warehouse normalization, and quality monitoring for large volumes of market data, news feeds, and internal sources. Core stack includes SQL, Python/Java/Scala, Airflow, dbt, Spark/Kafka/Flink, and cloud data platforms.
Junior DevOps Engineer (active Top Secret clearance required) deploying and managing cloud/edge infrastructure on AWS and Kubernetes. Day to day: automating deployments with Terraform, Ansible and Git, scripting in Python/Bash/Go, Linux administration, and supporting big-data platforms like Hadoop, Kafka, Accumulo and NiFi.
DevOps Systems Engineer in San Antonio automating infrastructure, running Kubernetes and Linux on AWS, and maintaining CI/CD with Terraform, Ansible, and Git plus Python/Bash/Go scripting. Requires an active Top Secret clearance (TS/SCI obtainable) and U.S. citizenship; includes Big Data work and Agile team leadership.
Senior Data Engineer on a 1-year renewable contract in Kuala Lumpur, designing, building, and maintaining cloud data pipelines and ETL processes primarily on Azure and Databricks. Day-to-day involves Python/R scripting, DevOps-driven pipeline deployment, and ensuring data quality and governance.
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