Azure Data Engineer - £400PD - Remote

Tenth Revolution Group; City Of London; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading technology firm is seeking an experienced Azure Data Engineer to design and maintain data solutions within the Microsoft Azure ecosystem. The role involves developing scalable data pipelines, optimising existing data models, and ensuring data governance. Candidates should have strong experience with tools such as Azure Data Factory, Databricks, and SQL, along with excellent data modelling capabilities. This remote position offers a competitive daily rate.

Qualifications

• Proven experience as a Data Engineer working with Azure.
• Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage.
• Excellent SQL and data modelling skills.

Responsibilities

• Develop and maintain scalable data pipelines using Azure technologies.
• Build efficient ETL/ELT processes and data models for analytics.
• Manage data security and governance, including compliance standards.

Skills

Azure Data Factory

Synapse Analytics

Databricks

SQL Database

Azure Storage

SQL

Data modelling (star/snowflake)

Power BI dataflows

DAX

Python

PySpark

T-SQL

CI/CD

DevOps (Git, YAML pipelines)

Job description

Azure Data Engineer - 400PD - Remote

Seeking an experienced Data Engineer to design, build, and optimise data solutions within the Microsoft Azure ecosystem. The role focuses on pipeline development, data modelling, governance, and supporting analytics teams with high-quality, reliable data.

Key Responsibilities:

• Develop and maintain scalable data pipelines using Azure Data Factory, Synapse, Databricks, and Microsoft Fabric.
• Build efficient ETL/ELT processes and data models to support analytics, reporting, and dashboards.
• Optimise existing pipelines for performance, reliability, and cost efficiency.
• Implement best practices for data quality, error handling, automation, and monitoring.
• Manage data security and governance, including Row‑Level Security (RLS) and compliance standards.
• Maintain documentation and metadata for data assets and pipeline architecture.
• Collaborate with analysts, data scientists, and stakeholders to deliver trusted data products.
• Provide technical support and troubleshoot production issues.
• Contribute to improving data engineering processes and development lifecycle.

Required Skills & Experience:

• Proven experience as a Data Engineer working with Azure.
• Strong skills in Azure Data Factory, Synapse Analytics, Databricks, SQL Database, and Azure Storage.
• Excellent SQL and data modelling (star/snowflake, dimensional modelling).
• Knowledge of Power BI dataflows, DAX, and RLS.
• Experience with Python, PySpark, or T‑SQL for transformations.
• Understanding of CI/CD and DevOps (Git, YAML pipelines).
• Strong grasp of data governance, security, and performance tuning.

To apply for this role please submit your CV or contact Dillon Blackburn on (phone number removed) or at (url removed).