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Backend Engineer, Data Infrastructure - Platform
Build and maintain Shopee’s central big-data platform, writing scalable backend services in Java/Go/Python to power data ingestion, scheduling, governance, and visualization for thousands of internal users.
Backend Engineer, Data Infrastructure - OLAP
Build and maintain Shopee’s big-data infrastructure and OLAP engines, ensuring scalable storage, real-time processing, and fast analytics for business teams.
Java Backend Developer(SQL, algorithm, Unix)
Develops and maintains Java-based banking systems for capital markets, focusing on trading platforms, risk management, and regulatory reporting with SQL, algorithms, and Unix tools.
Java Developer
Java Developer on a Big Data platform (MASAI) for a major investment bank's Capital Markets IT, using Java, SQL, Maven, and Git on petabyte-scale data systems.
Python Developer- Banking
Builds and maintains scalable data pipelines and analytics platforms for a large enterprise bank using Python, PySpark, SQL, and HiveQL.
Data Platform Engineer
Own and operate a Databricks Lakehouse platform, focusing on reliability, governance, and cost optimization for a fintech company.
Senior Software Engineer - Backend Databricks San Francisco, California
Build and scale Databricks’ backend infrastructure and distributed systems to power large-scale data and AI workloads across clouds.
Senior Azure Data Engineer – Databricks, Spark & Pipelines
Designs and builds scalable data pipelines on Azure Databricks and Spark, ensuring robust data quality and CI/CD practices for HR-focused analytics.
Senior Data Engineer – Melbourne
Senior Data Engineer builds and optimizes Azure-based data pipelines using Databricks, Spark, SQL, and ADF to deliver scalable HR analytics solutions.
AI Data Engineer
Build and optimize scalable data pipelines and AI-ready systems, including vector search, RAG, and retrieval pipelines, using Databricks, Spark, and Python.
Data Engineer
Build and maintain scalable data pipelines on Azure and Databricks to deliver clean, reliable energy data for reporting and analytics across a European green-energy retailer.
Data Engineering Manager: Lead Scalable Pipelines
Lead a team to build and scale data pipelines using Spark, Hadoop, Kafka, and cloud services, ensuring reliable data flows for analytics and product teams.
Data Engineer F/H - Système, réseaux, données
Build and maintain data pipelines on Azure, Fabric, and Databricks using PySpark, Python, and SQL to deliver analytics and BI solutions for enterprise clients.
Senior Data Engineer: Big Data, Spark & Cloud Platforms
Onyx-Conseil recherche un ingénieur Data & Digital pour développer et industrialiser des solutions Big Data à forte volumétrie dans un environnement innovant, reposant sur des plateformes Cloud et Big Data. Vous…
DATA Engineer - Environnement Databricks H/F
Build and maintain scalable data pipelines using Databricks, Apache Spark, Kafka, and cloud platforms, while mentoring teams and sharing best practices.
Data Engineer - Databricks, Spark & Kafka | Hybrid
Designs, builds, and maintains data pipelines and streaming solutions using Databricks, Spark, and Kafka for client projects.
Data Engineer - Manager/Specialist
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.
Senior Databricks Data Engineer | PySpark Pipelines & Cloud
Build and maintain robust data pipelines on Databricks using PySpark and Spark SQL, collaborating with teams to gather requirements and automate data flows in an Agile environment.
Senior Data Engineer: Real-Time Pipelines & Spark
Design and optimize scalable data pipelines for B2B products using Spark, Scala, and SQL, ensuring reliable real-time and batch processing in Poissy.
Data Warehouse Engineer Intern (Data Platform, TikTok LIVE) - 2027 Start Singapore Undergraduate/Master Intern - 2027 Start
Build and maintain offline and real-time data warehouses for TikTok LIVE, processing hundreds of billions of records using big data tools like Spark, Hadoop, and Flink.