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Data Engineer
Build and maintain data platforms for a bank, including Teradata data warehouses, Big Data pipelines, and ETL workflows using Python/Scala in a DevOps/CI/CD environment.
Data Engineer
Build and maintain robust data pipelines and BI solutions using Microsoft’s stack (SQL Server, SSIS, Fabric) to modernize analytics platforms for enterprise clients.
Data Engineer – Pipelines, Data Lake et Dashboards
Build and maintain scalable data pipelines, data lake/warehouse infrastructure, and dashboards while ensuring data quality, GDPR compliance, and DevOps/CI-CD practices.
AWS Data Engineer — Data Pipelines & Spark (Hybrid)
Design and optimize AWS-based data pipelines using Glue, Lambda, Spark, and Redshift to build reliable, secure datasets for analytics and modeling.
Senior Data Engineer — Build Scalable Data Pipelines (Hybrid)
Senior Data Engineer builds and optimizes scalable data pipelines for a gaming company using SQL, Python, and data warehousing to support analytics and business decisions.
Data Engineer: AI/ML Data Pipelines & Cloud
Design and optimize AI/ML data pipelines for cloud-based data lakes and warehouses, ensuring data quality and CI/CD deployments while collaborating with Data, AI, and R&D teams.
Security-Cleared Data Engineer: ETL & Cloud Data Pipelines
Designs and maintains ETL pipelines and cloud data warehouses on AWS/Azure to ingest, cleanse, and transform large datasets for secure government systems.
Data Engineer
Build and maintain scalable data pipelines and models (Snowflake, dbt, Airflow) to power analytics, reporting, and AI use cases for a global enterprise integration platform.
Data Engineer: Build Reliable AI Safety Data Pipelines
Build and maintain production data pipelines and a data warehouse to support AI safety initiatives, modeling data for engineering, product, and research teams.
AWS Data Engineer — Pipelines & Cloud Automation
Build and optimize AWS data pipelines for enterprise clients, focusing on automation, cloud-native tooling (Spark, Airflow, Terraform), and scalable data platforms to enable analytics and business insights.
Senior Python Developer (AI)
Build and maintain Python-based AI applications, integrating modern AI capabilities into systems using AWS and AI-powered tools like Claude Code.
Senior Database Developer & System Designer Data Warehouse – Fokus Oracle (m/w/d)
Design and build Oracle-focused data warehouse architectures and data ecosystems for an institutional asset manager.
Global Data Architect (m/f/d)
Design and govern global data architecture for semiconductor test systems, focusing on product/part data, supply chain integration, and enterprise-wide data models to support digital transformation.
Junior Consultant Data Engineering (m/w/d)
Junior consultant designs and implements BI, data-warehouse, and analytics solutions for clients using SAP BW/HANA, Azure, Snowflake, Databricks, and Python/SQL.
Data Engineering Consultant Junior (m/w/d)
Junior data engineering consultant designs and builds BI, analytics, and data-warehouse solutions for clients using SAP BW/HANA, Azure, Snowflake, Databricks, and Python/SQL.
Consultant Data Engineering Analytics (m/w/d)
Consultant builds and advises on BI, analytics, and data-warehouse solutions using SAP BW/HANA, Azure, Snowflake, Databricks, and Python/SQL.
Junior Berater Data Engineering BI (m/w/d)
Junior consultant in data engineering and BI, designing analytics solutions with SAP tools, Power BI, Python, and cloud platforms like Azure and Snowflake.
Informatiker als Junior Berater Data Engineering - Konzeption & Realisierung (m/w/d)
Junior consultant designs and builds data analytics solutions for clients using SAP, Power BI, Python, and cloud platforms like Azure and Snowflake.
Wirtschaftsinformatiker als IT Berater - Data Engineering - SAP Analytics Cloud (m/w/d)
You design and build BI, analytics, and data-warehouse solutions for clients using SAP Analytics Cloud, Power BI, SAP BW/HANA, Azure, Snowflake, and Databricks, plus Python/R/SQL.
Data Engineer / ETL-Developer im IT Consulting (m/w/d)
Builds and optimizes analytics systems and data pipelines for clients, focusing on ETL development, data warehousing, and performance tuning.