Senior Data Engineer

• Build and maintain reliable, scalable data pipelines to support digital enablement, reporting, analytics, and data science

• Work closely with analysts, data scientists, and business teams to understand data requirements

• Support and optimise our Databricks platform, ensuring it is used efficiently and at scale

• Develop and maintain ETL/ELT processes to integrate data from multiple systems

• Identify and fix performance issues in data pipelines and queries

• Ensure data quality, security, and governance standards are met

• Create clear documentation for data pipelines and platform design

Requirements

• Hands-on experience with cloud platforms (Azure preferred)
• Proven experience in Python and SQL
• Experience building and optimising data pipelines and large-scale data processing systems
• Good understanding of data modelling and data warehouse design
• Experience with Databricks or similar modern data platforms

Core Competencies

Demonstrates expertise in building and maintaining scalable data pipelines, optimizing data processing systems, and ensuring data quality and governance. Proficient in Python, SQL, and cloud platforms, particularly Azure, with a strong understanding of data modeling and warehouse design.

Highest-signal resume keywords

• Data Pipeline Development
• Python Programming
• SQL Proficiency
• Databricks Optimization
• Cloud Platform Experience

ATS Optimization Keywords

Hard Skills

• Data Pipeline
• ETL
• ELT
• Data Modeling
• Data Warehouse Design
• Performance Tuning
• Data Quality Assurance
• Data Governance
• Large-Scale Data Processing
• Cloud Platforms

Industry Keywords

• Data Science
• Analytics
• Digital Enablement
• Reporting

Tools & Technologies

• Databricks
• Azure