Azure Data Engineer - £500 - Hybrid

Tenth Revolution Group; North East; Hybrid; GBP 60,000 - 80,000; Full time

Job summary

A leading technology firm in the North East of England is seeking an experienced Azure Data Engineer to design and optimize scalable data pipelines on the Azure cloud platform. The ideal candidate will have strong experience in Databricks, data modeling, and ETL/ELT development. Responsibilities include developing CI/CD workflows and collaborating with cross-functional teams. This position offers competitive compensation and a hybrid work model.

Qualifications

• Proven experience as a Data Engineer working with Azure cloud services.
• Strong proficiency in Databricks and PySpark.
• Ability to solve complex technical problems and communicate solutions clearly.

Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks.
• Optimize ETL/ELT workflows that ingest data from various sources.
• Collaborate closely with data architects and stakeholders to understand data requirements.

Skills

Azure Databricks

PySpark

SQL

Data modeling

ETL/ELT development

CI/CD pipelines

Git

Tools

Azure Data Factory

GitHub Actions

Azure DevOps

Job description

Azure Data Engineer - 500PD - Hybrid

We are seeking an Azure Data Engineer with strong experience in Databricks to design, build, and optimize scalable data pipelines and analytics solutions on the Azure cloud platform. The ideal candidate will have hands‑on expertise across Azure data services, data modeling, ETL/ELT development, and collaborative engineering practices.

Key Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks (Python, PySpark, SQL).
• Build and optimize ETL/ELT workflows that ingest data from various on‑prem and cloud‑based sources.
• Work with Azure services including Azure Data Lake Storage, Azure Data Factory, Azure Synapse Analytics, Azure SQL, and Event Hub.
• Implement data quality validation, monitoring, metadata management, and governance processes.
• Collaborate closely with data architects, analysts, and business stakeholders to understand data requirements.
• Optimize Databricks clusters, jobs, and runtimes for performance and cost efficiency.
• Develop CI/CD workflows for data pipelines using tools such as Azure DevOps or GitHub Actions.
• Ensure security best practices for data access, data masking, and role‑based access control.
• Produce technical documentation and contribute to data engineering standards and best practices.

Required Skills and Experience

• Proven experience as a Data Engineer working with Azure cloud services.
• Strong proficiency in Databricks, including PySpark, Spark SQL, notebooks, Delta Lake, and job orchestration.
• Strong SQL and data modeling skills (e.g., dimensional modeling, data vault).
• Experience with Azure Data Factory or other orchestration tools.
• Understanding of data lakehouse architecture and distributed computing principles.
• Experience with CI/CD pipelines and version control (Git).
• Knowledge of REST APIs, JSON, and event‑driven data processing.
• Solid understanding of data governance, data lineage, and security controls.
• Ability to solve complex technical problems and communicate solutions clearly.

Preferred Qualifications

• Industry certifications (e.g., Databricks Data Engineer Associate/Professional, Azure Data Engineer Associate).
• Experience with Azure Synapse SQL or serverless SQL pools.
• Familiarity with streaming technologies (e.g., Spark Structured Streaming, Kafka, Event Hub).
• Experience with infrastructure‑as‑code (Terraform or Bicep).
• Background in BI or analytics engineering (Power BI, dbt) is a plus.

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