Senior Data Engineer - Azure Data Platform, Hybrid London

Data Science Festival; Greater London; Hybrid; GBP 75,000 - 85,000; Full time

Job summary

Data Idols is seeking a Senior Data Engineer to design, build and operate cloud-native data solutions at enterprise scale. You will work in a high-performing engineering squad, owning technical challenges and driving best practices across the team.

You’ll build scalable pipelines using Azure, Databricks and PySpark, collaborating with Product and Delivery to deliver reliable data platforms and business value. London-based with hybrid working conditions.

Qualifications

• Strong experience building cloud-native data platforms, ideally on Azure.
• Commercial experience with Databricks, PySpark and Python.
• Strong SQL and data engineering expertise.
• Experience designing and delivering scalable ETL and data pipeline solutions.

Responsibilities

• Design, build and deliver robust, cloud-native data solutions.
• Take ownership of technical challenges and contribute to engineering standards.
• Support engineers through code reviews, knowledge sharing and pair programming.
• Collaborate with Product and Delivery teams to deliver reliable data solutions that create business value.

Skills

Azure data platform

Databricks PySpark Python

SQL data engineering

ETL pipelines

Tools

Azure Databricks

Job description

Data Idols is seeking a Senior Data Engineer to design, build and operate cloud-native data solutions at enterprise scale. You will work in a high-performing engineering squad, owning technical challenges and driving best practices across the team.

You’ll build scalable pipelines using Azure, Databricks and PySpark, collaborating with Product and Delivery to deliver reliable data platforms and business value. London-based with hybrid working conditions.