Software Engineering Team Lead (Python/Azure)

TL;DR

Software Engineering Team Lead (Python/Azure): Leading and growing a team of software and data engineers to deliver enterprise-grade containerized Python applications and cloud infrastructure with an accent on Azure data platforms and Infrastructure as Code. Focus on designing scalable data pipelines, implementing Terraform modules, and driving DevOps/DataOps practices to ensure system reliability.

Location: Hybrid in Dundee, UK

Company

hirify.global is a global leader in expanding financial access, optimizing branch operations and self-service availability for financial institutions and retailers.

What you will do

• Lead, mentor, and grow a team of software and data engineers, fostering a culture of technical excellence and collaboration.
• Own the end-to-end delivery of containerized Python applications, data pipelines, and cloud infrastructure on Azure.
• Drive architectural decisions for data platforms using Azure Data Factory, Azure Functions, Azure SQL, and Event Hubs.
• Define and manage Infrastructure as Code (IaC) using Terraform to ensure secure and repeatable cloud environments.
• Establish and enforce engineering best practices, including code reviews, CI/CD, automated testing, and observability.
• Collaborate with product managers and stakeholders to translate business requirements into technical solutions.

Requirements

• Bachelor's Degree in Computer Science, Engineering, Data Science, or equivalent experience.
• 5+ years of experience in software or data engineering, with at least 1 year in a people management or technical leadership role.
• Strong experience developing enterprise-grade Python applications (APIs, data pipelines, ETL/ELT frameworks).
• Deep hands-on experience with Microsoft Azure services (Databricks, Data Factory, Functions, Storage, SQL).
• Proven experience with Terraform for infrastructure provisioning across multiple environments.
• Solid understanding of Docker, CI/CD pipelines, and DevOps practices.

Nice to have

• Familiarity with event-driven architectures (Event Hubs, Service Bus).
• Experience with data modeling, data warehousing, or lakehouse architectures.
• Azure or HashiCorp Terraform certifications.
• Experience with monitoring tools like Application Insights, Grafana, or Prometheus.
• Background in financial services or self-service banking technology.

Culture & Benefits

• Culture of technical excellence, continuous improvement, and collaboration.
• Opportunity to work within a large-scale, globally distributed team.
• Hybrid work arrangement.
• Equal-opportunity employer commitment to diversity and inclusion.