Tech jobs
Job listings
Data Engineer
Builds and maintains scalable ETL/ELT pipelines and data platforms using Python, SQL, PySpark, and Azure services like Databricks and Data Factory.
Lead Data Engineer — Remote Data Pipeline Architect
Lead a team to design and maintain high-volume marketing analytics pipelines using S3 data lakes, Airflow orchestration, and near-real-time processing on Athena/EKS.
Python Developer
Build secure, scalable Python (FastAPI/Flask) backends that ingest, transform, and expose clinical data via FHIR/HL7 standards on Azure cloud-native services.
IT Platform Engineer – Enterprise Data Lake
Build and maintain a secure, scalable Azure-based data lake platform using Python, Terraform, and DevOps practices.
IT Platform Engineer – Enterprise Data Lake
Build and maintain a secure, scalable cloud-native Enterprise Data Lake on Microsoft Azure using Python, Terraform, and Azure Databricks while implementing DevOps and CI/CD pipelines.
Data Platform Engineer: Build Scalable Cloud Data Infra
Build and optimize scalable cloud data infrastructure using Azure/AWS/GCP, Kubernetes, and Databricks to power RTL’s media and digital storytelling platforms.
Data Analytics Engineer
Build and optimize scalable data analytics solutions for clients using Azure tools like Fabric, Synapse, and Power BI, blending technical skills with business impact and AI-driven insights.
Cloud Engineer
Build and lead scalable data platforms on Azure (Databricks, Synapse, Data Lake) to turn business challenges into data-driven solutions, while mentoring peers and collaborating with data scientists.
*vervuld* vacature data engineer. evenementen, amsterdam
Design and maintain the data architecture for a major stadium’s event operations, building ETL pipelines in Azure to clean and process large datasets for analytics and business use.
Senior Azure Data Engineer (ID: 3508)
Design and build scalable Azure data pipelines using Databricks, PySpark, and Azure services to process and transform enterprise data for analytics and migration projects.
Data Engineer: Azure & Quantexa (Hybrid/Remote)
Builds scalable data pipelines and analytics using Azure, Fabric, and Quantexa for financial and regulatory clients, integrating Spark, Scala, and Power BI.
Senior Data Engineer: Azure Lakehouse & Data Platform Lead
Senior Data Engineer building scalable Azure-based lakehouse and Data Vault architectures using Synapse, Databricks and Data Lake for enterprise analytics.
Platform Data Engineer — Build a Universal Data Lake
Build and expand a scalable data lake, enabling real-time processing with Azure Databricks, Delta Live Tables, and Python to deliver reliable insights for marketing, BI, and finance teams.
Data Engineer (SAP BI & Databricks)
Build and maintain a modern data platform using Databricks, SAP BI tools, and SQL to power dashboards, reports, and future AI initiatives for a wholesale food distributor.
Lead Data Engineer - Azure Data Platform & Cloud
Leads Azure-based data pipelines and cloud projects using Databricks, Data Factory, Data Lake, and Synapse, while mentoring junior and mid-level engineers.
Medior Data Engineer — Build Scalable Data Solutions
Designs and maintains scalable data pipelines and solutions using SQL, NoSQL, Azure Data Factory, and Python for production environments.
Data Engineer – Informatica (ID:3398)
Designs and maintains Informatica-based ETL pipelines and data warehouses, building scalable pipelines for enterprise analytics and reporting.
GenAI Data Engineer (ID: 3550)
Design and maintain scalable ETL/ELT pipelines in Azure to feed GenAI and LLM applications, ensuring data quality, governance, and GDPR compliance.
Senior Data Engineer (Microsoft & Quantexa)
Senior Data Engineer builds and optimizes Azure-based data pipelines and Power BI reports for financial crime and compliance use cases, integrating Quantexa’s graph analytics.
Senior Data Engineer Managed Services
Builds and maintains scalable, secure data platforms using Azure, Databricks, and Python to power data-driven decisions for clients in energy, healthcare, logistics, and mobility.