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Data Engineer

Open 36d Europe

AI Analytics Azure Cloud Data Engineering +11 skills

Designs and builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, and modern tools like Databricks and Snowflake to turn raw data into actionable insights for clients and internal products.

Data Analytics Engineer: Architecting AI-Driven Insights

Open 46d EuropeContract

Analytics Data Analytics Power BI

Builds scalable data analytics solutions using Power BI and AI-driven insights in a collaborative product team.

Data Engineer – AI‑Driven Cloud Data Platforms

Open 46d Europe

AI Cloud Data Engineering Databricks PySpark +1 skills

Designs and builds scalable, AI-driven cloud data pipelines using SQL, PySpark, and Databricks to transform raw data into actionable insights.

Data Engineer – AI‑Driven Cloud Data Platforms

Open 46d Europe

Builds scalable, AI-driven data pipelines and cloud platforms using Python, PySpark and SQL to deliver insights for internal products and innovation.

AI PySpark Python SQL

Data Analytics Engineer: Architecting AI-Driven Insights

Analytics Data Analytics Data Lake Power BI

Designs and builds AI-driven analytics pipelines using Power BI, Fabric, and Data Lake to help organizations extract insights from their data.

Data Engineer – AI‑Driven Cloud Data Platforms

Build AI-driven cloud data pipelines and modernize infrastructure using Python and PySpark across sectors like healthcare and energy.

Data Analytics Engineer — AI-Driven Insights & Architecture

Open 47d EuropeContract

Analytics Azure Data Analytics Power BI

Builds AI-driven analytics solutions using Power BI and Azure, collaborating with teams to deliver data insights and architecture.

Data Analytics Engineer: Architecting AI-Driven Insights

Open 47d EuropeContract

AI Analytics Data Analytics Power BI SQL

Designs and builds AI-driven analytics solutions using Power BI, Fabric, SQL, DAX, and M-Query to deliver data insights for multidisciplinary teams.

Azure Data Engineer - Hybrid in Amsterdam (AI & Data)

Azure Data Pipelines Python

Builds and maintains Azure-based data pipelines and solutions using Python to deliver analytics and insights for clients across industries.

Lead Fabric Data Engineer: Architect AI-Data Platformen

Open 47d EuropeLead

AI Data Pipelines Microsoft Fabric PySpark Python

Design and build modern data platforms using Microsoft Fabric, develop data pipelines with Python and PySpark, and contribute to AI applications for healthcare and government sectors.

Azure Data Engineer: Build AI‑Ready Data Platforms

AI Azure Data Engineering Data Pipelines Databricks +2 skills

Build scalable data pipelines and AI-ready platforms using PySpark, SQL, and Databricks for client projects in a data engineering agency.

Azure Data Engineer – AI-Driven Data Platforms (Hybrid)

AI Azure Databricks Python

Designs and builds scalable data pipelines in Azure, transforming raw data into insights using Databricks and Python for an AI-driven platform.

Azure Data Engineer – AI-Ready Pipelines, Hybrid Work

AI Azure Data Engineering Databricks Python +1 skills

Builds scalable Azure data pipelines and AI-ready data solutions using Python, Databricks, and Spark in a collaborative, hybrid-work environment.

Lead Fabric Data Engineer

Open 47d EuropeInternshipLead

AI Analytics Azure Data Engineering Data Pipelines +8 skills

Lead the design and delivery of modern data platforms using Microsoft Fabric, PySpark, and SQL to build scalable pipelines and enable AI-driven insights for clients in healthcare, government, and other sectors.

Open 47d EuropeInternship

Azure Data Engineer - Build Scalable Cloud Data Pipelines

AI Analytics Azure Cloud Data Engineering +9 skills

Build and maintain scalable cloud data pipelines in Azure, transforming raw data into insights using PySpark, Databricks, Fabric, and Snowflake for clients in healthcare, retail, energy, and government.

Data Engineer

Open 47d EuropeContract

AI Analytics Azure Cloud Data Engineering +11 skills

Builds scalable cloud data pipelines and AI-ready platforms using Python, PySpark, DBT, and SQL, transforming raw data into insights for customers and internal products.