Jobs at Mindera

The Engineering Manager will lead software engineering teams, manage delivery, support team development, and drive the International roadmap in a digital/e-commerce environment.

As a People Processes Specialist, you will manage employee lifecycle events, ensure compliance, oversee onboarding/offboarding, handle benefits, and optimize HR operations.

The Senior QA Engineer will ensure the quality of web applications through automation and manual testing, develop test strategies, and maintain test environments in collaboration with software engineers.

Lead technical architecture and modernization of SAP platforms for HR and Finance, ensuring reliability, performance, and integration across environments, while supporting transformation initiatives.

Embed within a retail client team to document and map end-to-end processes, perform gap analysis, gather and prioritise requirements, facilitate workshops, and produce clear, buildable specifications for product and engineering teams. Drive stakeholder alignment and clarity across seniority levels; occasional travel (0-15%).

Own and operate the full lifecycle of AWS cloud infrastructure using IaC (Terraform/Terragrunt), automation (Ansible), containers (Kubernetes/Docker/Helm), CI/CD pipelines, and observability. Collaborate with leadership and clients, guide teammates, perform root cause analysis, and ensure secure, cost-effective, resilient deployments.

Lead the testing strategy across the Automated Warehouse programme by transitioning to automated testing, managing offshore QA teams, and ensuring quality across multiple systems.

Design and develop scalable microservices using Kotlin/Java and Micronaut, integrate APIs, implement TDD/BDD, and optimize system performance in a DevOps culture.

Lead the technical direction and evolution of a GraphQL-based omnichannel API platform while mentoring engineers and managing technical decisions.

As a Senior Frontend Software Engineer, you will design and build scalable front-end solutions using React and Next.js, ensuring high performance and security. You will collaborate with cross-functional teams in an Agile environment and advocate for best practices in SEO and performance optimization.

The Staff Frontend Software Engineer will architect and build high-performance frontend solutions, ensuring engineering excellence and driving testing strategies while leading teams in an Agile environment.

Lead full‑stack web application development while integrating AI-assisted workflows. Use AI coding assistants and agentic techniques to design, implement, test, and validate production‑grade frontend and backend systems. Build reusable prompts and agent workflows, establish verification and guardrails for AI-generated outputs, contribute to architecture and engineering standards, and mentor teams on responsible AI-enabled development.

This course teaches basic Python programming skills, covering concepts such as variables, data structures, functions, control flow, error handling, file handling, and modules with hands-on exercises and a final project.

The Senior Data Scientist will lead complex data science initiatives, collaborate with marketing and product teams, and create statistical models to drive strategic decisions.

This course provides a foundation in Product Management, covering the Product Life Cycle, problem analysis, user experience, Agile delivery, and AI tools to support product workflows.

The Senior Data Engineer will design, develop, and optimize scalable batch and streaming data pipelines using Databricks, Snowflake, and modern data engineering techniques while ensuring data quality and collaborating with teams.

Lead architecture for an omni-channel order management transformation, defining current and target-state architectures, shaping order management capabilities, supporting discovery, procurement and vendor selection (RFI/RFP), guiding implementation and legacy modernisation, establishing architecture governance, and collaborating with product, engineering, commerce, supply chain and platform teams to deliver technology recommendations and non-functional requirements.

Lead architecture for customer data transformation programmes: define current and target state architectures, design customer data foundations (CDP, MDM, single customer view), support CRM integration, drive technology selection and procurement, establish governance, and guide phased implementation with stakeholders across data, product, marketing and engineering.

Lead architecture for commercial transformation programmes in retail, defining as-is and to-be architectures, shaping technology roadmaps, supporting procurement and vendor selection, driving modernisation and governance, and delivering architecture artefacts and non-functional requirements to enable product, pricing, assortment, forecasting, and replenishment capabilities.

Design and maintain scalable ETL/ELT pipelines, optimize data processes, collaborate with teams for analytics, and ensure data integrity.