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Senior Data Engineer role at Talan, building and optimizing data pipelines, visualizations, and ML models using Dataiku, Python, Spark, and cloud tools to deliver business insights and POCs.
Build and optimize Snowflake-based data pipelines and cloud data models for enterprise clients, using SQL, Python, and cloud platforms like AWS.
Consultant Data Engineer builds and optimizes Databricks-based data pipelines and analytics solutions for enterprise clients, using Spark, Python/Scala/SQL, and ETL/ELT workflows.
Overview Microsoft Cloud Operations + Innovation (MCO+I) is the team behind the cloud. CO+I is responsible for delivering over 200 Microsoft web portals, Live and Online Services around the world including…
You’ll lead user research, translate needs into requirements, and design intuitive digital experiences while collaborating with cross-functional teams.
Build and optimize Snowflake-based data pipelines and cloud databases for clients, focusing on SQL/ETL, modeling (Star Schema, Data Vault), and real-time data flows.
Business Analyst driving IT projects for a healthcare aeromedical service, gathering requirements, improving processes, and bridging business and tech teams to deliver systems that support critical care operations.
At Centorrino Technologies (CT), we’re more than just tech—we’re a community that goes beyond expectations. We’ve been recognised as a Great Place to Work in 2025 and Top 5 Inspiring Workplaces for 2026, with an…
Lead the design and build of a robust, scalable data/ML platform for finance-sector clients, setting technical foundations and guiding high-caliber teams.
You design, build, and optimize cloud data pipelines on Google Cloud Platform for enterprise clients, using Scala, Python, and SQL to ingest, transform, and prepare data for analytics and AI workloads.
Build and optimize cloud data pipelines on GCP for enterprise clients, designing scalable architectures, auditing existing systems, and implementing data ingestion/transformation solutions using Python, Scala, and SQL.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Build and optimize data pipelines, analyze business needs, and deliver visualizations using Dataiku, Python, and Spark to drive AI-driven solutions for clients in finance, healthcare, mobility, and climate sectors.
Consultant Data Engineer designs and implements Databricks-based data pipelines and analytics solutions for clients, optimizing Spark jobs and architectures while advising on best practices.
Builds and maintains data pipelines using Spark and Scala to ensure reliable, high-performance data infrastructure for analytics and reporting.
Design and build scalable GCP data pipelines and deploy agentic AI systems using Vertex AI, LangChain, and RAG for enterprise clients.
Build and maintain scalable data pipelines on AWS to power internal analytics and client-facing APIs, using Python, Airflow, Kafka, and Terraform.
Lead a new DevOps business unit at an engineering agency, building and automating resilient multi-cloud infrastructure (AWS/GCP/Azure) and integrating AI/ML tooling while collaborating with development teams and external partners.
Build and run cloud infrastructure on Azure and GCP using Terraform, Ansible, and GitLab CI/CD; automate deployments, monitoring, and incident response for Linux-based systems.
Maintain and automate Windows-based retail systems, SQL Server databases, and GCP cloud services while improving DevOps pipelines and incident response.
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