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Software engineer on the Cargo Movements team building and maintaining backend data pipelines, APIs, and user-facing features that consolidate commodity, energy, and maritime trade data. Day to day: Python ETL work, SQL databases, debugging production systems, code reviews, plus some front-end (Vue.js) contributions.
Senior engineer who partners with enterprise customers to design, build, and deploy end-to-end data and AI solutions on the Databricks platform, traveling 20% of the time.
Builds platform components for a DLT-based collateral exchange platform trusted by financial institutions, implementing business logic, workflows, and integrations via APIs and message queues. Core stack is JVM languages (Kotlin/Scala/Java), with database, security, Kubernetes, and Canton/Daml exposure.
Data Engineer at Devoteam, a global tech consulting firm and Google Cloud partner, based in Jakarta, Indonesia. Day to day: designing data architectures, building and maintaining ETL pipelines, data warehouses and lakes, and integrating data sources using Python/SQL, big data tools (Spark, Kafka, Airflow) and cloud platforms, with GCP certifications required within 3 months of joining.
Senior Software Engineer on Shopfully's Audience Platform team (Ad Products), owning high-throughput, low-latency backend services, Kafka event-driven systems, and distributed data pipelines powering audience data for ad targeting. Core stack: Go, gRPC/Protobuf, Kafka, Python/Scala, SQL, AWS, Kubernetes, Datadog.
Senior Software Engineer on the Audience Platform team, owning and scaling low‑latency, high‑throughput Go backend services, Kafka event pipelines, and data tables, while integrating ad‑tech platforms, supporting ML/AI workflows, and ensuring privacy compliance.
Develop and maintain large‑scale distributed data pipelines and real‑time streaming applications for Apple Services, using Java/Scala, Flink, Kafka, Iceberg and related big‑data tools.
The Solutions Architect works with Italian customers to showcase Databricks' Data & AI Platform, creating custom big‑data solutions, authoring reference architectures, and leading workshops, while leveraging Python/Java/Scala, Spark and public cloud services.
Builds and maintains next-generation, cloud-native data platforms powering real-time and batch data movement at enterprise scale. Day-to-day work is data engineering with Spark, Kafka, Flink, Scala, and Java in an onsite-hybrid role based in Cupertino, CA.
Lead Software Engineer on State Farm's Digital Experience Test Enablement Team, designing and building end-to-end test automation and intelligent solutions with Python/PySpark, Angular, and Go, applying GenAI/agents and AWS cloud workflows. Hybrid role based out of the Richardson, TX hub; no visa sponsorship.
New-grad software engineer in Ireland at a programmable financial-infrastructure (payments) company whose APIs process trillions in annual volume. The hire ships production code on small teams in Java, Ruby, JavaScript, Scala, or Go, learns unfamiliar systems with mentorship, and uses AI tools with rigorous judgment.
Software engineer at Stripe's Ireland office building programmable financial infrastructure used by millions of businesses. Day to day you collaborate across product and platform teams to ship reliable services at scale, working in languages such as Java, Ruby, JavaScript, Scala, or Go.
New-grad software engineer joining Stripe in Dublin to work on its programmable financial infrastructure used by millions of businesses. Day-to-day involves building and maintaining systems across the platform, with coding done mostly in Java, Ruby, JavaScript, Scala, and Go.
Lead Application Developer at Great Eastern Life Malaysia who designs data integration, ETL, and data-mart solutions on the Big Data Platform, analyzing requirements and supporting batch and real-time workflows in production. Core stack: Java/Scala, Talend, and Big Data tooling, with 5-8 years of experience.
Data Engineer at Asian Pac Holdings in Kuala Lumpur, splitting time ~70% on data infrastructure (Airflow-orchestrated pipelines, Azure/AWS cloud, data lake/warehouse) and ~30% on applied AI (LangChain/CrewAI agents, RAG pipelines) supporting property-development analytics.
A Senior Big Data Engineer designs, develops and optimises scalable data platforms built on Lambda and Kappa architectures, tuning Spark and Flink workloads and managing memory for large-scale processing. Core stack includes Python/Java/Scala, SQL, distributed systems and cloud-native tooling, working alongside analysts and engineers on robust data pipelines.
A data engineer in Kuala Lumpur who designs and maintains cloud data pipelines (Azure/AWS) orchestrated with Airflow, supporting property-development analytics — with roughly 30% of the role focused on building AI agent solutions using CrewAI/LangChain and RAG pipelines.
Build and scale backend systems and APIs for an AI-driven adtech platform, working with Python, Go, Kafka, and cloud infrastructure to process billions of daily events.
Over de functie Onze klant ontwikkelt en produceert geavanceerde, modulaire hardware- en softwareoplossingen voor magazijnautomatisering (zoals shuttles en automatische stellingsystemen). Om de snelle groei en de…
Middle Data Engineer builds and maintains the data infrastructure for a gaming company: developing Airflow DAGs, setting up CDC pipelines into the analytical warehouse, building SQL data marts, and Flink streaming transformations while monitoring data quality. Core stack: Python, Java, SQL, Kafka, Airflow, dbt, Flink, Trino/Presto, MongoDB, PostgreSQL, AWS.
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