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Information and Communications Technology (ICT) Associate (Data Engineer) (GS)
Build and maintain Microsoft Fabric and Azure data pipelines to integrate and govern migration-related datasets for analytics and reporting.
Real-World Data Analytics Engineer: Build Pipelines
Build and maintain scalable data pipelines for real-world healthcare analytics, harmonizing source data with OMOP/FHIR standards and ensuring data quality.
Real-World Data Analytics Engineer | OMOP/FHIR Pipelines
Builds and maintains OMOP/FHIR data pipelines to transform real-world clinical data into standardized formats for analytics and research.
Azure Data Platform Engineer: Build Scalable Pipelines
Builds and maintains scalable Azure data pipelines using ADF, Databricks, and Azure DevOps to ingest, process, and automate analytics workloads.
Security Data Engineer: Exec Dashboards & Risk Insights
Build executive security dashboards and risk insights using SIEM, EDR, IAM, and DLP data to support senior stakeholders in a cybersecurity-focused role.
Data Governance Engineer (Data Governance Team)
Build and enforce data governance frameworks for Semrush’s analytics ecosystem, ensuring data quality, ownership, and reliability across integrations and reporting assets.
Data Engineer (m/w/d) PFS Admin & Tool
Build and maintain real-time data pipelines for telecom analytics using Java, Python, Kafka, and Flink on Kubernetes, collaborating with data scientists and DevOps teams.
Senior Data Engineer — Microsoft Fabric & Azure
Senior Data Engineer builds and migrates analytics pipelines on Microsoft Fabric and Azure, modernizing legacy systems and automating data workflows for a global measurement-solutions company.
Real-Time Data Engineer: Kubernetes, Kafka & Flink
Builds real-time data pipelines in Kubernetes using Kafka and Flink to power analytics and AI use cases for Deutsche Telekom.
Data Engineer (m/f/d)
Build and maintain security analytics dashboards in Power BI, integrating data from SIEM, EDR, IAM, and other security tools to track KPIs like vulnerability remediation and risk posture for executive stakeholders.
Security Data Engineer (m/f/d)
Build and maintain security data pipelines and dashboards in Power BI and Excel, integrating SIEM, EDR, IAM, and other security tools to produce KPIs and executive reports.
AI / Data Engineer (m/f/d)
Build and deploy AI and data-driven applications to improve home-appliance user experiences, using Python, cloud platforms, and Data Mesh principles.
Data Engineer - Informatica (PowerCenter / DEI / IDQ)
Design and implement ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and process data for enterprise clients, primarily in finance or insurance sectors.
AI / Data Engineer (m/f/d)
Build and deploy AI and data products for a global home-appliance company, designing modern data architecture and enabling data-driven decisions across teams.
Security Data Engineer (m/f/d)
Builds security analytics dashboards and KPIs in Power BI, integrating data from SIEM, EDR, IAM, and other security tools to drive risk-informed decisions for executives.
Data Engineer - Informatica (PowerCenter / DEI / IDQ)
Build and maintain ETL pipelines using Informatica PowerCenter/IDQ/DEI to integrate and transform data for enterprise clients, primarily in finance and insurance sectors.
Senior Data Engineer (Ecosistema Azure)
Build and optimize scalable data pipelines on Azure using Databricks, Data Factory, Synapse, and DevOps tools to ingest, process, and govern enterprise data.
Azure Data Engineer (International Team)
Build and maintain cloud data pipelines on Azure, using Data Factory, Databricks, and DevOps to ingest, process, and orchestrate large-scale data workflows.
Data Engineer (Madrid, Spain)
Build and maintain data pipelines and distributed systems for European clients, using Python, Spark, and cloud platforms to solve business challenges in industries like pharma, insurance, and manufacturing.
Data Engineer/Analyst PowerBI
Builds and maintains data pipelines in PL/SQL and Python to feed analytics and reporting, ensuring clean, reliable data for decision-making.