Senior Staff Data Engineer

What its all about - The Payments Foundation Models team is a new high-impact initiative within Visas Data Science organization. Based in Cambridge UK and working closely with global Visa engineering and product teams the groups mission is to build the next generation of payments-focused foundation AI models. These models will power a range of premium Risk and Identity Solutions (RaIS) products such as fraud scores with the goal of generating more than 100M dollars in new revenue by FY2030 and may be extended into other domains such as credit risk modelling or agentic commerce personalization.As Senior Consultant Data Engineer you will design build optimize and maintain data tooling and pipelines that power the development and deployment of Visas Large Transaction Models. You will:Design and develop high-performance data pipelines and tooling to support Large Transaction Model training and analysis at global scale.Provide technical leadership for your fellow engineers data scientists and product managers within your Agile Team and liaise with contributors from other technology and product teams across Visa.This is a hands-on technical role in the Individual Contributor track at the Senior Consultant or Senior Manager level with significant scope to influence engineering standards and practices while working on high-impact Visa-scale systems.Key Responsibilities:Design and develop high-performance data pipelines and tooling to support Large Transaction Model training and analysis at global scale.Optimize Spark pipelines and workflows for speed and efficiency across Visas evolving data warehousing and data analytics infrastructure.Provide technical leadership and guidance to other members of the agile team working with cross-functional stakeholders to align technical solutions with product goals.Collaborate with data scientists to build production tooling and pipelines for training PyTorch-based machine learning models.Ensure data systems meet Visas standards for security reliability scalability and compliance.Mentor junior engineers and contribute to Visas software engineering best practices.Liaise with global technology and product teams to share tools patterns and innovations.Drive continuous improvement of team processes and shared workflows.This is a hybrid position. Expectation of days in the office will be confirmed by your Hiring Manager. Qualifications : What wed like from you -Academic background to at least undergraduate level in a relevant discipline e.g. Computer Science Mathematics Physics or Engineering.Minimum 5 years experience in collaborative software engineering roles .Mastery of Apache Spark in large scale distributed computing environments.Proven track record of optimizing Spark queries for performance at scale.Familiarity with typical patterns and trade offs in columnar file formats (eg: Parquet) open table formats (eg: iceberg) and analytical query engines.Strong experience building and maintaining machine learning pipelines.Familiarity with modern software engineering principles and practices (e.g. agile clean code IDEs source control testing code review).Familiarity with PyTorch models and their integration into production systems.Proficiency with data workflow orchestration tools (e.g. Airflow Luigi or equivalent).Strong programming skills in Python.Experience working in Agile or Scrum environments and communicating with non technical stakeholders.Background in payments or financial services data engineering.Experience in a technical leadership or management role.Familiarity with a systems programming language (eg: C or Rust)Experience with Click house.Familiarity with inference optimizations for deep learning models.Experience with cloud-based big data platforms (e.g. AWS EMR GCP Dataproc Azure HDInsight Databricks).Exposure to MLOps practices and tools.Additional Information : Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.Remote Work : NoEmployment Type : Full-time Key Skills Computer Science,Docker,Kubernetes,Python,VMware,C/C++,Go,System Architecture,gRPC,OS Kernels,Perl,Distributed Systems Experience: years Vacancy: 1