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Senior Data Engineer SQL, Kafka, APIs Gdynia
Build and maintain ETL pipelines, SQL Server databases, and Kafka-based streaming integrations to enable cross-application data sharing.
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.
Strategic Lead Data Engineer — Azure, Databricks, SQL
Lead Data Engineer builds and maintains scalable data pipelines on Azure and Databricks, designs SQL-based architectures, and mentors junior engineers in Gdynia.
Azure Databricks Data Engineer - Lakehouse & PySpark Remote
Build and optimize Azure Databricks-based data pipelines and Lakehouse architectures using PySpark and Azure Data Factory to power scalable cloud analytics and BI reporting.
Senior Data Engineer (m/f/d)
Senior Data Engineer builds and optimizes cloud-based ETL pipelines and data models for sales analytics at a large bank, using GCP, Python, SQL, and Gen/Agentic AI tools.
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 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.
Data Engineer - Microsoft Fabric @ Angry Nerds
Builds and optimizes cloud-based data pipelines using Microsoft Fabric, Azure Synapse, PySpark, and SQL to process diverse datasets for analytics and reporting.
Senior Data Engineer (Azure | Databricks) @ 1dea
Build and optimize scalable data pipelines in Azure and Databricks, focusing on ETL workflows, real-time processing, and cloud migrations.
Senior Data Engineer On-Premises Data Platforms @ Jacobs
Design, build, and maintain enterprise-scale data pipelines in on-premises and hybrid environments, integrating data from databases, legacy systems, and APIs using SQL, Python, Spark, and ETL/ELT tools.
Data Engineer - Azure Data Platform @ Belvedere Recruitment
Design and build scalable data pipelines using Azure Data Factory and Databricks, maintain data warehouses, and optimise SQL queries to support data-driven decisions.
Remote Data Engineering Lead - Senior Principal
Leads a team of data engineers to design and implement complex data pipelines using SQL Server SSIS, Active Batch, T-SQL, and Go Anywhere, while mentoring junior engineers and ensuring project delivery.
SENIOR PRINCIPAL CONSULTANT - DATA ENGINEERING LEAD
Leads a team of data engineers to build and maintain data pipelines and warehouses using SQL Server SSIS, T-SQL, and Go Anywhere for a utilities-focused agency.
Remote Senior Data Engineer - Cloud, Data Lake & Analytics
Oversee data engineering teams and build secure, scalable data solutions for a gaming-payments platform using SQL Server, PowerBI, and cloud databases.
System & Data Engineer (Linux / SQL Area)
Maintains and develops Linux/Windows servers, databases, and real-time data pipelines using SQL, PostgreSQL, Kafka, and Flink to support HR analytics and IoT integrations.
Middle Data Engineer (Azure Databricks)
Designs and builds cloud data pipelines on Azure Databricks, integrating PySpark, Delta Lake, and Azure Data Factory to power analytics and BI for enterprise clients.
Senior Data Engineer (Azure | Databricks)
Senior Data Engineer builds and optimizes scalable ETL pipelines on Azure and Databricks, migrating legacy data to cloud Data Lake and ensuring Data Governance.
Senior Data Engineer (m/f)
Senior Data Engineer builds and maintains data pipelines, ETL/ELT processes, and real-time monitoring systems using Python, SQL, Databricks, and Spark, while also developing full-stack web apps with React/Angular and DevOps tooling.
Senior Data Engineer On-Premises Data Platforms
Design and build enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.
Senior Data Engineer On-Premises Data Platforms
Design and maintain enterprise-scale on-premises and hybrid data pipelines, ETL/ELT processes, and data warehouses using SQL, Spark, Hadoop, and orchestration tools.