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Senior Data Engineer
Build and own scalable data pipelines and analytics infrastructure for a global crypto exchange, using SQL, Python, GCP/BigQuery, and dbt to deliver clean, reliable datasets for business insights.
Senior Data Engineer
Build and maintain scalable data pipelines and models using Azure Data Factory and SQL Server to support analytics and reporting for a global investment advisory firm.
Sap analytical cloud planning developer (java scripting and devops expertise)
Build and deploy SAP Analytics Cloud Planning solutions, integrating data and scripting complex models while applying DevOps practices for finance-focused planning workflows.
Data Architect
Designs and manages enterprise-scale data architectures for a major defence shipbuilder, ensuring secure, reliable data flows aligned with naval shipbuilding programs and compliance requirements.
Data Architect
Designs and builds scalable Azure-based data pipelines and lakehouse solutions using Databricks, PySpark, and Azure Data Factory to power analytics and reporting for enterprise clients.
Databricks Expert - Data Engineer/Data Architect
Designs and implements cloud-native data pipelines on Databricks and Azure, building scalable data lakes for analytics and ML workloads.
Data Engineer, Senior
Senior Data Engineer builds and maintains scalable data pipelines and platforms to process structured/unstructured data, enabling analytics and insights for mission-driven projects like fraud detection and healthcare research.
Senior Associate - Data Engineer (AWS Lakehouse, Analytics Engineering & Reporting)
Build and maintain a secure AWS Lakehouse platform for analytics, reporting, and AI using Spark, dbt, Iceberg, and QuickSight to deliver trusted data products and dashboards.
Forward Deployed Engineer Data & AI
Build and deploy AI, data pipelines, and analytics solutions for enterprise clients in APAC, bridging business needs with production-ready GenAI, RAG, and data platforms.
Data Engineer
Designs and maintains scalable data pipelines and warehouses to power analytics and ML, using SQL, Python/Java, and tools like Spark and Presto.
Senior Data Engineer
Build and own the Snowflake/dbt pipeline that powers Sovos’ US financial close, transforming billing, revenue, and deferred-revenue data into trusted outputs for finance and AI consumers.
Senior Data Engineer (m/w/d) – Snowflake
Build and scale Snowflake-based data pipelines and warehouses that power business decisions, using Python, SQL, and orchestration tools like Airflow.
Senior Software Engineer (Java/C++) — Query Engine / Data Platform
Senior backend engineer building and optimizing a distributed SQL query engine in Java/C++ for a large-scale data lakehouse platform used by Fortune 500 companies across finance, energy, manufacturing, and logistics.
Executive Azure Data Engineer - Data & Cloud
Build and maintain cloud data platforms (Data Lakehouse, Data Warehouse) in Azure, designing ELT pipelines, streaming flows, and CI/CD automation for enterprise clients.
Data Analytics Engineer | Roma
In questa posizione, potrai progettare e sviluppare soluzioni dati su piattaforme moderne per abilitare architetture distribuite. Lavorerai all’modernizzazione dello stack dati aziendale e alla gestione di pipeline di…
Senior Системный аналитик
Senior системный аналитик проектирует и интегрирует data-платформенные решения для HR-аналитики и AI-агентов, включая ETL-пайплайны, хранилища и API.
Data Architect (REF5750O)
Designs and governs enterprise data models, pipelines, and integration patterns to power analytics and business capabilities using cloud platforms and modern data stack tools.
Аналитик по управлению данными
Data governance analyst building and maintaining data catalogs, glossaries, and quality frameworks for a large social-insurance agency, ensuring consistent metrics and metadata across systems.
Аналитик качества данных
Анализирует данные из пенсионных и социальных систем, выявляет дефекты и разрабатывает правила контроля качества с помощью SQL и Excel.
Data Analyst, Operations
Own and maintain data flows between operational systems, a data warehouse, and business tools, ensuring clean, reliable data for client teams and stakeholders.