Tech jobs
Job listings
Senior Data Analyst
Senior Data Analyst builds and operationalizes ML models on Azure Databricks to deliver predictive analytics and drive data-driven decisions across KPMG Indonesia.
Data Engineer Support
Build and maintain ETL/ELT pipelines and data warehouses using SQL, SSIS, Spark, and IBM InfoSphere tools to process and integrate enterprise data.
Data Engineer - Zurich Asuransi Indonesia
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python, designs star-schema models, and implements data quality and CI/CD frameworks to power analytics.
Middle/Senior Data Scientist (Транзакционный банкинг B2C)
Build ML models for B2C banking: propensity scoring, NLP on client feedback, credit-limit management, and churn prediction, then ship production-ready code via MLOps pipelines.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an AI-driven oil & gas company, focusing on cloud-native architectures (Azure), data governance, and AI-ready data models to support predictive maintenance and subsurface modeling.
Data Architect (Category - Architect) (Doha)
Designs and governs enterprise-scale data platforms for an oil & gas company, focusing on cloud-native architectures (Azure/Synapse/Databricks) to support AI, analytics, and predictive maintenance in Doha.
Data Engineer (OT Data)
Build and maintain high-performance data pipelines that bridge operational technology (OT) systems like SCADA and IoT sensors with cloud analytics in the oil and gas sector, using Azure, Python, and Spark.
Data Engineering Consultant (Category - Architect)
Design and build scalable data platforms for industrial IoT and AI in oil & gas, using Azure cloud services and real-time streaming pipelines.
Senior Data Engineer / Data Scientist (AI & LLM Solutions)
Builds scalable data pipelines and AI/ML models for anti-financial-crime systems, using Python, LLM frameworks, and GCP tools to enable intelligent automation and agent-based solutions.
Expert Data Engineer
Design and build scalable data platforms, ETL/ELT pipelines, and cloud data warehouses using GCP tools like BigQuery, DBT, Airflow, and Trino to support data-driven decisions.
Principal Data Engineer
Principal Data Engineer designs and leads enterprise-scale data platforms and pipelines at Kingfisher, using Python, Spark, and cloud services to enable analytics and business value across retail brands like B&Q and Screwfix.
Senior Data Engineer
Build and maintain cloud-based data pipelines and warehouses using GCP, BigQuery, DBT, Airflow and Trino to enable scalable analytics and data-driven decisions.
Azure Databricks Data Engineer: Lakehouse Pipelines
Builds and optimizes Azure Databricks Lakehouse pipelines using PySpark and SQL Server to transform and deliver data for BI teams.
Data Architect (GCP + AWS) + GenAI — 100% Remoto España
Design and maintain large-scale cloud data architectures while building generative AI solutions (RAG, LLMs, agents) in Python and SQL.
Hybrid Data Scientist & ML Engineer - Python/AWS SageMaker
Build and maintain ML models and data pipelines using Python, PySpark, SQL, and AWS SageMaker for advanced analytics projects.
Data Science & Engineering Analyst con discapacidad
Build and deploy ML models (churn, pricing, fraud) and LLM-based agents for an insurer, using Python, AWS SageMaker, and NLP libraries.
Data Scientist / Machine Learning Engineer – Python & AWS
Build and maintain ML models and data pipelines in Python and PySpark on AWS SageMaker, focusing on product recommendations and customer churn prediction.
Data Scientist / Machine Learning Engineer – Python & AWS
Build and deploy ML models end-to-end in Python and PySpark, using AWS SageMaker for product-recommendation and churn-prediction systems.
Senior AI Engineer / Data Scientist – GenAI & Advanced Analytics
Build and deploy generative AI agents, RAG systems, and ML models end-to-end using Python, LangChain, and Azure OpenAI to drive healthcare analytics and business impact.
DATA SCIENTIST AND AI ENGINEER WITH DATABRICKS
Design and implement end-to-end AI solutions using Python, PySpark, Databricks, Postgres and open-source LLMs like Qwen, building data pipelines, RAG systems and AI agents for enterprise clients.