Principal Data Engineer

Dotdigital is seeking a Principal Data Engineer to lead the development of a scalable, resilient, and intelligent data platform. This role involves architecting data pipelines, leveraging AI for automation, ensuring data infrastructure best practices, and collaborating with cross-functional teams to deliver data value across the entire ecosystem. The ideal candidate will focus on shaping data collection, processing, and consumption for real-time services.

Requirements

• Extensive experience delivering python-based projects in the data engineering space.
• Extensive experience working with SQL and NoSQL database technologies.
• Hands on experience with data warehousing and large-scale data processing tools (e.g. Snowflake, DBT, BiqQuery, Clickhouse).
• Experience using cloud environments (e.g. Azure, AWS, GCP) to process, store and surface large scale data.
• Experience using Kafka or similar event-based architectures e.g. (Pub/Sub via AWS SQS, Azure EventHubs, AWS Kinesis).
• Strong grasp of data architecture and data modelling principles for both OLAP and OLTP workloads.
• Experience as a lead or Principal Engineer on large-scale data initiative or product builds.
• Demonstrated ability to architect data systems and data structures for high volume, high throughput systems.

Benefits

• Parental leave
• Medical benefits
• Paid sick leave
• Retirement Plan
• Wellbeing reward
• Wellbeing Days
• Loyalty reward
• DEI commitment