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Cloud Data Engineer (f/m/d)
Build and maintain cloud data pipelines for a Geneva-based bank, integrating trading-order data across systems using Python, Spark, and AWS services.
Data Engineer Microsoft Fabric
Design and build Microsoft Fabric data architectures for clients, including pipelines, Lakehouse/Warehouse models, and Power BI semantic layers, while coaching teams on best practices.
Data Engineer – Microsoft Fabric & Data Lakes
Build and maintain Microsoft Fabric-based analytics for a 103-pharmacy network, writing PySpark/Python and SQL pipelines to ingest, transform, and govern data.
Databricks Data Engineer – Datenplattformen & Kundenprojekte (m/w/d)
Build and optimize scalable data platforms and ELT pipelines using Databricks, PySpark, and Delta Lake, while consulting with Swiss clients to translate their needs into robust data solutions.
Databricks Data Engineer | Hybrid, Consulting & Growth
Builds and consults on Databricks-based ELT pipelines and data transformations using SQL, Python, PySpark, and Delta Lake for enterprise customers.
Software Engineer, Data
Build and maintain EKZ’s cloud-native data and AI platform on Microsoft Azure, designing pipelines and enabling self-service analytics to drive the energy provider’s digital transformation and sustainability goals.
Data Engineer - Microsoft Fabric (f/h) 80 - 100% FR
Build and maintain a modern data platform using Microsoft Fabric to integrate, transform, and govern healthcare data for a nationwide pharmacy chain.
Data Engineer – Microsoft Fabric (w/m) 80 - 100% / DE
Build and maintain a modern data platform using Microsoft Fabric to integrate, process, and govern healthcare data for reliable analytics and reporting across Switzerland.
AWS Data & AI Engineer at Noventiq WLL
Design and maintain AWS-based data pipelines, cloud data platforms, and AI/ML solutions using Python, Spark, and AWS services like S3, Glue, Redshift, and SageMaker.
Data Engineer (Сербия)
Build and optimize data infrastructure for high-load B2B projects in gaming and sports using Python, PySpark, Airflow, ClickHouse, Trino, Kafka, and S3.
Senior QA Engineer: ETL Data Quality for Healthcare
Senior QA Engineer builds automated tests for ETL pipelines and healthcare data workflows using PySpark, Databricks, and Oracle, ensuring data integrity and validating business rules.
Data and AI Solutions Engineer
Design and build AI/GenAI solutions for financial clients using Azure OpenAI, Databricks, and Fabric; develop data pipelines, LLMs, and analytics platforms while advising enterprise teams.
Backend Engineer - API & Data Modeling (Remote)
Build and scale backend APIs and data models for an automated TV advertising platform, using Python, SQL, and modern data stacks to support analytics and integrations.
Senior AI/Data Platform Engineer (Snowflake, GenAI) @ Jacobs
Design and operate Snowflake-based data platforms that power analytics, AI/ML, and GenAI workloads, including RAG and vector search, at enterprise scale.
Senior QA Automation Engineer - Data Platforms
Leads QA automation for data platforms, building test frameworks for data pipelines and validating backend systems with PySpark, Azure DevOps, and REST APIs.
Data and AI Solutions Engineer
Design and build AI and data solutions for financial clients using cloud tech like Azure OpenAI, Databricks, and Microsoft Fabric, including LLMs and advanced analytics pipelines.
Data Platform Engineer - Hybrid, Gdańsk, Azure Cloud
Builds and maintains Arla’s Azure-based data platform using Databricks, PySpark, SQL, and Terraform to power analytics and decision-making across the company.
Software Engineer, Data Platform
Build and lead a multitenant data platform in AWS and Databricks, owning ingestion, storage, and access layers for internal and external data sources using Python, PySpark, and modern data tools.
Data Platform Engineer - Gdańsk
Build and maintain Arla’s enterprise-grade data platform using Azure Databricks, PySpark, and IaC; design pipelines, automate CI/CD, and ensure observability and security across the stack.
Data Solutions Engineer (rola projektowa)
Build and maintain cloud-based data pipelines in Azure using Databricks, PySpark, and Python, collaborating on end-to-end data solutions for enterprise clients.