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Data Engineer Lead
Lead the design and build of Edenred’s next-gen data platform on Azure and Databricks, owning pipelines, governance, and analytics foundations that power business insights.
Senior Data Engineer
Design and build secure, high-performance data pipelines and lakehouse architectures to power AI-driven supply-chain forecasting and generative tools, integrating SAP systems and unstructured data like drawings and regulatory documents.
Solution Data Engineer Sr.
Senior data engineer builds and maintains cloud data pipelines using Databricks, Snowflake, and Adobe Analytics, focusing on governance, performance, and integrations.
AI DevOps / Cloud Engineer (MLOps)
Build and own the cloud infrastructure and MLOps platform for a regulated fintech firm’s AI trading systems on AWS, including Kubernetes, CI/CD, and model deployment pipelines.
DevOps Specialist ( REMOTE)
Build and deploy cloud-native apps on Azure, automate CI/CD pipelines, and manage data lakes for real-time analytics and energy-trading workflows.
SENIOR DATA ENGINEER (H/F)
Build and maintain scalable data pipelines and cloud infrastructure for an insurtech SaaS platform, enabling insurers to analyze risk with speed and precision using Python, PySpark, and big-data tools.
Data Analytics Engineer
Build and optimize data analytics solutions using Azure tools like Fabric and Power BI, combining technical skills with business impact to drive AI-driven insights and scalable data architectures.
Senior DevOps - Data Platform Infrastructure
Build and maintain scalable data platforms using Snowflake and Databricks, owning infrastructure as code, cost efficiency, and operational reliability for Coveo’s data infrastructure.
Real-Time Data Pipeline Architect - Databricks & BI
Designs and builds real-time data pipelines in Databricks to feed BI dashboards, using Delta Lake and PySpark/Scala/SQL.
Backend Engineer(고객여정플랫폼)
Builds and owns the end-to-end customer-journey pipeline: mobile SDK → Kafka → Databricks Bronze, plus event servers, auth middleware, A/B testing and MMP attribution for a Korean securities app.
SGunited Jobs Data & AI Platform Engineer
Build and maintain AI-powered document parsing pipelines using OCR, VLM, and RAG to extract, index, and retrieve structured data from PDFs, images, and videos for GenAI applications.
Data & AI Platform Engineer-
Build and maintain AI-powered document parsing pipelines, OCR/VLM systems, and RAG knowledge bases on Azure to extract and structure data from PDFs, images, and videos for GenAI applications.
Data Analytics Engineering Lead
Lead the design and build of enterprise-scale data platforms using Snowflake, Azure Synapse, Databricks, and Python to enable analytics and AI/ML initiatives.
Data Engineer Graduate (TikTok Recommendation Ecosystem Architecture) - 2027 Start (PhD)
Build and optimize distributed data infrastructure for TikTok’s recommendation, search, and ads systems, focusing on real-time and offline storage, Lakehouse architectures, and ML feature pipelines.
Data Engineer: Databricks, Delta Lake & Real-Time Pipelines
Build and maintain scalable data pipelines using Databricks, Spark, PySpark, and Delta Lake to power analytics and reporting for a global fashion brand.
Senior Data Engineer — Databricks/PySpark (1-Year Contract)
Design and maintain production data pipelines using PySpark and Databricks, optimize Spark jobs, and collaborate with cross-functional teams.
Data Engineer (Azure Databricks)
Build and maintain Azure Databricks pipelines and Delta Lake tables, integrate with ADLS Gen2, and optimize ETL/ELT workflows for scalable data solutions.
Databricks Data Engineer
Build and optimize scalable data pipelines on Databricks using PySpark, Delta Lake, and cloud services to power enterprise analytics and AI workloads.
Senior Data Engineering
Senior data engineer builds and maintains Databricks-based data warehouse and real-time pipelines for a financial trading business, modeling trades, positions, and market data.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.