Senior Lead Developer - DataBricks Data Factory SQL

hackajob is partnering directly with NEXT to hire for this role.

The Role:

An exciting opportunity has arisen to join our Business Intelligence Systems (BIS) team at a pivotal moment in our tech journey - transitioning from legacy architectures to a modern cloud-first data ecosystem. You won't just be maintaining systems; you'll be building the future of our data infrastructure. In this role, you will utilise data, analytical, and reporting tools to develop new products, optimise existing solutions, and support our users across the business.

The BIS domain works in close collaboration with stakeholders across key Business areas such as Finance, Product, Marketing, and Contact Centre to design, build, and support the critical data solutions NEXT relies on for operational and business analysis. Our thriving department features 80 developers, analysts, and product managers focused on value driven delivery. What You'll Take On:
Joining the BIS domain, you will leverage tools such as Azure stack (Azure Data Factory, Azure Datalake), Databricks and PowerBI to innovate and streamline workflows to provide valuable data for the business . Working as part of a product team, you will develop solutions tailored to meet business requirements, including initiatives such as cost-saving efficiencies, cyber resilience, and data security controls.

Furthermore, you will support various data ingestion pathways, execute data compliance frameworks, and optimise our internal workflows to maximize process efficiency and operational stability. What You'll Bring:
While our traditional SQL platform remains the core of our business for the foreseeable future, we are rapidly scaling our modern data architecture. We are seeking a Senior Developer who is comfortable navigating this hybrid landscape - someone eager to blend existing knowledge with emerging AI and machine learning tools to build the future of our data infrastructure. Technical Expertise

Languages:

Strong proficiency in SQL and Python. Data Platform:
Hands-on experience with Azure Data Lake and Databricks. Data Integration (ETL):
Proven capability in building efficient data pipelines using Azure Data Factory (ADF), SSIS, and API integrations. Reporting & Analytics Reporting Tools:
Proficiency in PowerBI (or similar tools). Professional Behaviours

Collaboration:

Demonstrated ability to work within multifunctional, fast-moving product teams. Communication:
Strong spoken and written English skills, capable of translating complex requirements into clear technical tasks. Mentorship: A proactive mindset, eager to provide guidance to less experienced developers and support collaborative pair-programming. Desirable Skills

Experience with PySpark or PySQL. Experience in Dimensional Modelling and data warehousing principles.

Experience with SQL Server SSAS Tabular and DAX. Exposure to SQL Server RDBMS and Managed Instance. Knowledge of Azure Event Hubs or Active Batch. A keen interest in applying Artificial Intelligence (AI) and Machine Learning (ML) to real-world data problems.