Jobs at NewDay

Serves as a trusted technical contact for strategic clients, investigating service issues and escalations using SQL, dashboards, monitoring, and service data. Coordinates Product, Engineering, Technology, and Operations teams to resolve blockers, translates complex technical information into clear client communications, and proactively identifies risks, recurring issues, and opportunities to improve service performance and client experience.

Manages customer communication journeys across channels, including statements, payments, and automated campaigns. Partners with cross-functional teams to improve customer experiences, analyze communication performance, manage budgets and approvals, and drive continuous improvement. The role requires strong stakeholder management, data analysis, campaign development, and operational communications expertise, with preferred experience in HTML, Salesforce Marketing Cloud, regulated industries, and customer testing tools.

Designs, builds, and improves scalable data ingestion and transformation pipelines using Python, SQL, dbt, Airflow, Spark, AWS, and Snowflake. Owns data lake and platform reliability, ETL processing, table refreshes, defect resolution, performance optimization, automation, and CI/CD delivery. The role also requires data modeling expertise, complex data problem-solving, and leadership through coaching and technical direction of Data Engineers.

Lead the design, development, and optimisation of scalable data pipelines, platforms, and data lake infrastructure. Build transformations with DBT, Python, and SQL; improve ETL reliability and automation; guide cloud-native CI/CD delivery; and promote data engineering standards and governance. Mentor engineers, solve complex data challenges, and explore AI-enabled tools to improve productivity, quality, and reliability.

Build and ship internal developer tools, shared services, and platform capabilities that improve engineering productivity. Lead complex work from concept through delivery, contribute to resilient architecture, CI/CD, observability, and documentation, and mentor engineers. Collaborate with engineering leadership to shape technical direction and engineering practices. The role may also explore responsible use of AI-assisted development tools.

Lead and develop a pod of Data Engineers while remaining hands-on in designing scalable data platforms, pipelines, transformations, and data products. Guide data modelling, warehousing, ETL/ELT, testing, observability, automation, and engineering quality. Collaborate with technology and business teams to solve complex data challenges and explore AI-enabled improvements. The role may involve AWS, Snowflake, Spark, Scala, Airflow, Git, and CI/CD.

Lead a three-person developer experience engineering team while designing and improving developer tooling, platform standards, automation, and software delivery practices. Provide technical guidance, coach engineers, and collaborate across engineering teams to enable faster, safer, and more reliable delivery. The role involves hands-on work with .NET, TypeScript, Node.js, cloud platforms, CI/CD, testing, infrastructure as code, and platform engineering practices.

Lead the design and delivery of GenAI solutions, leveraging LLMs and RAG architectures while integrating with enterprise systems. Focus on production-grade implementations and collaboration across teams for digital transformation efforts.

The Senior AI Engineer will design and implement AI systems, focusing on production-grade solutions using LLMs and agentic systems to meet business needs.