Azure Databricks Developer (SC / NPPv3)

Project overview

Our key client is looking for an Azure Databricks Developer with SC and NPPv3 on a 6 months+ contract.

The Azure Databricks Developer is responsible for designing, developing, testing and supporting scalable data engineering solutions using Azure Databricks and the wider Azure data platform. The role focuses on building robust data ingestion, transformation and processing pipelines that enable advanced analytics, AI, machine learning and business intelligence solutions.

Working closely with Data Architects, Data Engineers, Data Analysts, and Solution Architects, the Azure Databricks Developer helps deliver trusted, high-quality data products while ensuring adherence to security, governance and operational standards.

Requirement: NPPV3/SC clearance

Key Responsibilities

Data Engineering & Development

Design and develop data pipelines using Azure Databricks.

Build scalable ETL/ELT solutions using PySpark, Spark SQL and Delta Lake.

Develop ingestion frameworks for batch and streaming data.

Develop outbound pipelines that interface with APIs

Optimise large-scale data processing workloads for performance and cost efficiency.

Data Integration

Integrate data from:

Azure SQL Database

Azure Data Lake Storage Gen2

Microsoft Fabric

APIs and third-party SaaS platforms

On-premise systems

Event streaming platforms

Implement automated data validation and reconciliation processes.

Data Modelling

Implement bronze, silver and gold data architectures.

Optimise storage structures using Delta Lake best practices.

Platform Engineering

Configure and maintain Databricks workspaces, clusters and compute resources.

Implement CI/CD pipelines for Databricks code deployments.

Support environment promotion across development, test and production environments.

Monitor and troubleshoot platform performance issues.

Data Quality & Governance

Implement data quality controls.

Support metadata management and lineage requirements.

Ensure compliance with security, privacy and governance standards.

Contribute to data catalogue and documentation activities.

Collaboration

Work with business stakeholders to understand data requirements.

Support Data Architects in implementing target-state architectures.

Technical Skills

Essential

Azure Databricks

Apache Spark

PySpark

Spark SQL

Delta Lake

Azure Data Factory or Microsoft Fabric Data Factory

Git version control

SQL development

Python programming

Desirable

Azure Synapse Analytics

Azure Event Hubs

Kafka

Power BI

Databricks Workflows

Azure DevOps

Terraform

Unity Catalog

MLflow

Azure Machine Learning

Experience Profile

Candidates should demonstrate experience in:

Developing enterprise-scale data pipelines.

Working with large data volumes and distributed processing technologies.

Building ETL/ELT solutions within Azure environments.

Implementing data quality and monitoring controls.

Working within Agile delivery teams.

Typical Backgrounds

Data Engineer

ETL Developer

Azure Data Engineer

BI Developer with strong engineering experience

Spark Developer

Databricks Engineer

Key Competencies

Technical

Analytical problem solving

Performance optimisation

Data architecture awareness

Software engineering practices

Testing and quality assurance

#4839281 - Nasar Ali

Project details

• Start: flexible
• Location: London, GB