Hybrid Data Engineer: Azure & PySpark

Vantage Data Centers; Greater London; Hybrid; GBP 55,000 - 75,000; Full time

Benefits offered by this job

Health benefits

Flexible work policy

Training and development opportunities

Job summary

Vantage Data Centers is looking for a Mid‐Level Data Engineer in London to help build and scale the enterprise data platform. You'll design and maintain data pipelines using Python and Azure services, ensuring quality and compliance.

This role requires collaboration with cross-functional teams and a self-starter mindset. The position supports hybrid work, with 3 days on-site and 2 days remote.

The company promotes a culture of teamwork and offers a competitive compensation package including health benefits.

Qualifications

• 3–5 years of experience in data engineering or analytics engineering.
• Proficiency in Python for building and maintaining data pipelines.
• Experience building solutions on the Microsoft Azure platform.

Responsibilities

• Design, build, and maintain reliable data pipelines using Python and PySpark.
• Develop batch and incremental data pipelines with Azure Data Factory.
• Monitor, troubleshoot, and optimize data pipelines in production.

Skills

Python

SQL

PySpark

Data Pipeline Development

Azure Data Factory

Agile Development

Education

Bachelor's degree in Engineering, Computer Science, Data Analytics, or related field

Tools

Azure Data Lake Storage Gen2

Azure Synapse

Git

Job description

Vantage Data Centers is looking for a Mid‐Level Data Engineer in London to help build and scale the enterprise data platform. You'll design and maintain data pipelines using Python and Azure services, ensuring quality and compliance.

This role requires collaboration with cross-functional teams and a self-starter mindset. The position supports hybrid work, with 3 days on-site and 2 days remote.

The company promotes a culture of teamwork and offers a competitive compensation package including health benefits.