Full stack Microsoft Azure Data Engineer/Developer

Experis - ManpowerGroup; City Of London; Remote; GBP 50,000 - 75,000; Full time

Job summary

Une entreprise leader dans le domaine de la technologie recherche un Développeur Microsoft Databricks pour optimiser ses pipelines de données. Ce rôle implique le développement de solutions de données évolutives tout en garantissant les meilleures pratiques en ingénierie des données. Si vous avez une expertise en Databricks, DevOps et une expérience avec des solutions de cloud, n'attendez plus pour postuler.

Qualifications

• Expérience pratique avec Microsoft Databricks et Apache Spark.
• Connaissance solide de Git, intégration DevOps et pipelines CI/CD.
• Expertise dans Unity Catalog pour la gouvernance des données.

Responsibilities

• Développer et optimiser des pipelines de données Databricks.
• Gérer les versions de code avec Git et intégration DevOps.
• Configurer et gérer Unity Catalog pour la gouvernance des données.

Skills

Microsoft Databricks

Git

DevOps

Apache Spark

Azure Data Lake

Delta Lake

Job description

Full stack Microsoft Azure Data Engineer / Developer

7 months

Remote

Inside IR35 - Umbrella only

Role Overview:

We are seeking a hands-on Microsoft Databricks Developer with expertise in data engineering best practices. The ideal candidate will have strong experience in Git/DevOps integration, Unity Catalog, and performance optimization for Databricks data transformation workloads.

Key Responsibilities:

• Develop and optimize Databricks data pipelines for efficient data transformation.
• Implement code version management using Git and DevOps integration.
• Configure and manage Unity Catalog for secure and scalable data governance.
• Enhance performance optimization in Databricks workloads, ensuring efficient resource utilization.
• Collaborate with data engineers and architects to design scalable solutions.
• Ensure adherence to best practices in Databricks data engineering.

Required Skills & Experience:

• Hands-on experience with Microsoft Databricks and Apache Spark.
• Strong knowledge of Git, DevOps integration, and CI/CD pipelines.
• Expertise in Unity Catalog for data governance and security.
• Proven ability to optimize Databricks data transformation workloads.
• Experience with Azure Data Lake, Delta Lake, and cloud-based data solutions.

All profiles will be reviewed against the required skills and experience. Due to the high number of applications we will only be able to respond to successful applicants in the first instance. We thank you for your interest and the time taken to apply!