Tech jobs
Job listings
Senior Azure Data & AI Engineer
Senior Azure Data & AI Engineer designs and builds cloud-native data pipelines and AI integrations for global enterprises, using Azure Data Factory, Python, and Azure AI Search to power a multi-model AI engine.
GCP Data Engineer - Customer Value and Digital Engagement Department
Design, build, and maintain GCP-based data pipelines (ETL/ELT) and warehouses to power analytics, ML models, and AI apps for a telecom company.
GCP Data Engineer (m/k) - IT Contracting @ Michael Page
Design and build scalable data pipelines on GCP, implementing ETL/ELT processes and real-time streaming solutions while optimizing data warehouses and big data architectures.
Senior Data Engineer (with GCP experience) - ICH Europe
Design and build scalable data pipelines on GCP (BigQuery, Cloud Composer) to feed AI/ML models, using Python, SQL, dbt and Data Vault 2.0.
Senior Data Engineer (with GCP experience) - ICH Europe
Build and maintain scalable data pipelines on GCP for AI initiatives, using Python, SQL, dbt, and BigQuery to enable large-scale analytics and ML workloads.
Senior Data Engineer (f/m/x) @ Sii Polska
Build and maintain Azure-based data pipelines and lakehouse solutions using Fabric, Synapse, and Python to transform raw data into usable assets for clients.
Senior Data Engineer - Full remote (F/M)
Senior Data Engineer builds and maintains Snowflake-based ETL/ELT pipelines, data models, and REST APIs to consolidate finance data for forecasting and reporting in a regulated biotech environment.
GCP Data Engineer (m/k) - IT Contracting
Build and maintain scalable GCP data pipelines, ETL/ELT processes, and real-time data streaming solutions using BigQuery, Dataflow, and Pub/Sub.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, SQL, ETL tools, and Python/R for European clients.
Data Engineer - Junior/Mid/Senior - ICH Europe
Build and optimize scalable data pipelines and AI solutions using cloud platforms, ETL tools, and SQL for enterprise clients across Europe.
Senior Data Engineering Manager - T&T
Lead a team to design and maintain scalable Azure-based data pipelines and models that feed McCormick’s AI systems, using Databricks, Synapse, and PySpark.
Lead Data Engineer - Snowflake & DBT Architect
Lead the design of enterprise-scale data platforms using Snowflake, DBT, and Data Vault 2.0, while establishing governance and enabling analytics and AI across EU markets.
Senior Data Engineering Manager - T&T
Lead a team to design and maintain scalable Azure-based data pipelines and models that feed McCormick’s AI systems, using Databricks, Synapse, and PySpark.
Senior Data Engineer (Azure Data Factory) @ Addepto
Design and maintain Azure Data Factory pipelines, orchestrating ETL/ELT workflows and optimizing warehouse layers (Azure SQL/Synapse) for enterprise clients.
Remote Snowflake Data Engineer — DBT & Data Vault Expert
Design and build Snowflake data models and ETL pipelines using dbt and Data Vault, then optimize SQL for reliable analytics in a fully remote role.
Data Engineering Lead/ Tech Lead (Snowflake)
Leads the design and delivery of large-scale data solutions using Snowflake, DBT, and Data Vault 2.0, defining enterprise architectures for analytics and AI initiatives.
Databricks Data Engineer – GenAI & Lakehouse Innovator
Build and maintain scalable data pipelines and Lakehouse architectures using Databricks, PySpark, and Delta Lake to power analytics and GenAI solutions for enterprise clients.
Senior Data Engineer — Snowflake, Data Vault & Cloud Automation
Senior Data Engineer builds and optimizes cloud data pipelines, implements Data Vault models, and manages Snowflake RBAC for a retail client using Snowflake, Python, DBT, and Azure/AWS.
Databricks Data Engineer (ICH Europe)
Build and maintain scalable data pipelines and Lakehouse models on Databricks, using PySpark, Delta Lake, and Medallion architecture to deliver analytics-ready datasets for enterprise clients.
CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS
Design and build scalable data pipelines and AI-ready platforms using Python, SQL, Snowflake, and cloud tools to deliver analytics and GenAI solutions for clients.