Senior Data Engineer

Quick Facts

• Senior Data Engineer focused on data platforms and data & AI delivery
• Work with clients and project teams to translate business needs into technical solutions

Description

Join a growing Data Engineering team to design and implement reliable, scalable data processing pipelines, and continuously improve data platforms for performance, cost, and maintainability. You will work closely with clients and internal technical leaders, ensuring compliance with relevant regulations while exploring and implementing new technologies. The role supports the organization’s Data & AI offering through practical engineering and shared standards.

Responsibilities

• Design and implement reliable, scalable data pipelines
• Improve existing data platforms for performance, cost, and maintainability
• Collaborate with clients to understand needs and deliver suitable solutions
• Work with other teams and technical leaders across the organization
• Ensure solutions comply with applicable regulations, standards, and regulatory requirements
• Track new technologies and initiate and implement innovative solutions

Requirements

• Very strong knowledge of data platform architecture
• Practical experience building solutions in Databricks using Python/PySpark (alternatively Microsoft Fabric or Azure Synapse)
• Experience building software
• Knowledge of Power BI or similar Business Intelligence tools
• Excellent communication skills

Benefits

• Small technical teams with a strong emphasis on code quality, architecture, and collaboration
• Modern cloud development, often on Microsoft Azure, using technologies such as .NET, TypeScript, React, Databricks, Python/PySpark, and Power BI
• High engineering standards with conscious architectural decisions
• Real influence on technical solutions, architecture, and project delivery
• Close collaboration with designers, product owners, and clients