Senior Data Engineer

Overview

In this role, you lead the technical design and delivery of Burson’s Fount data platform, turning product vision into scalable data pipelines and BI capabilities. You’ll shape architecture, mentor a junior engineer, and collaborate with Product Owners in an Agile setting to ensure reliable, scalable, and user-friendly analytics. You’ll work across data ingestion, AI enrichment, and cloud infrastructure to drive measurable reporting improvements for clients. This is a hands-on leadership role that combines strategic engineering with delivery at scale.

Pay / Benefits

• professional development opportunities
• mentorship programs
• vibrant inclusive culture
• hybrid working policy
• industry-leading technology environment
• opportunities for growth and retention

Responsibilities

• Lead architectural design and delivery of data pipelines, services, and platform components
• Collaborate with Product Owners in Agile Jira environment to translate requirements into technical solutions
• Build and maintain production-ready Python services, SQL transformations, star-schema models, and API integrations
• Optimize pipeline performance, reliability, and AI token costs with robust monitoring and incident response
• Enhance analyst-facing configuration layers (Boolean searches, API ingestion, NocoDB workflows)
• Operationalize AI-enabled enrichment frameworks with governance and cost controls
• Deliver custom data engineering solutions integrating diverse datasets for scalable reporting
• Mentor junior engineers through code reviews, architectural guidance, and knowledge sharing

Key requirements

• Substantial experience designing and operating production data platforms
• Advanced proficiency in Python and SQL, including Pandas, REST API integrations
• Hands-on experience with Microsoft Azure (Azure Data Factory, Azure SQL, ADLS), Azure DevOps, Git, CI/CD
• Proven track record in reliability engineering, troubleshooting, and performance optimization
• Experience mentoring engineers and elevating team capabilities
• Agile execution experience with Jira and collaboration with Product Owners
• Familiarity with AI integration frameworks, LLM enrichment, NoSQL, Parquet formats
• Exposure to low-code tools (NocoDB/Airtable), IaC (Terraform/Terragrunt) and BI tools (Power BI)

• Mentoring and technical leadership
• Strong collaboration with cross-functional teams
• Detail-oriented with governance mindset
• Python
• SQL
• ELT/ETL pipelines