Software Engineering Team Lead - Almería

About the profileWe are looking for a Software Engineering Team Lead to join our Data and AI Engineering team.This is a player-coach role: you will guide a team of full-stack and backend engineers while staying hands-on with Python backends and frontend applications.You bring technical depth to make sound architecture decisions and the people skills to help your team grow.You will work on high-impact client engagements in life sciences and healthcare, building software that connects our data platforms to real-world use cases.You will also contribute to how MIGx evolves its engineering capabilities, exploring new technologies and helping clients see what is possible.ResponsibilitiesTeam Leadership & Development:Lead and mentor a team of full-stack and backend engineers, supporting their growth through regular 1:1s, performance reviews, and personal development plans.Act as the first point of escalation for technical challenges and keep the team unblocked.Collaborate with data engineers, AI engineers, and other disciplines to align on architecture and delivery.Support hiring by defining engineering criteria and helping assess and onboard new team members.Technical Leadership & Architecture:Define and uphold engineering standards, design patterns, and code quality practices across the team.Lead architecture reviews and provide hands-on guidance on backend and frontend system design.Build and maintain production-grade Python backend services and contribute to frontend applications in React/TypeScript.Own features end-to-end: from requirements through implementation, testing, deployment, and monitoring in production.Champion engineering best practices: clean code, SOLID principles, testing (unit, integration, e2e), CI/CD, and documentation.Client Engagement & Innovation:Engage with business and client stakeholders to understand their challenges and translate them into technical solutions.Explore and evaluate emerging technologies and bring those insights back into client work and MIGx’s internal practices.Participate in scoping and pre-sales discussions, representing the engineering perspective.Contribute to MIGx’s delivery practices, tooling, and reusable assets across engagements.Requirements - Must haveWhat We’re Looking For:We value diverse backgrounds and leadership styles.Even if you do not check every box, we would still love to hear from you.What matters most is impact, ownership, and care for both the craft and your team.Core Experience & Skills:Proven track record of end-to-end ownership of enterprise software systems, from architecture to production.Seniority is measured by impact on team performance and solution quality, not years of tenure.Experience leading engineers, including performance reviews, goal-setting, and personal development follow-up.Background in the life sciences industry (e.g. clinical trials, regulatory, pharmacovigilance, R&D, or commercial operations) with understanding of its data complexity and compliance requirements.Strong proficiency in Python for backend development (FastAPI, Flask, or equivalent) and experience building APIs and services for production.Frontend experience with React and TypeScript, building web applications that consume backend APIs.Cloud engineering experience across major platforms, with preference for Azure, including deployment, monitoring, and infrastructure as code.Experience operating software at scale in production, with ownership of observability, alerting, and reliability.Confidence engaging with business stakeholders, understanding their needs, and building trust across client engagements.Good communication skills, able to explain technical decisions clearly to both engineers and non-technical audiences.Results-oriented, with a strong sense of ownership and commitment to continuous improvement.Requirements - Nice to haveExperience integrating AI and machine learning capabilities at the application layer, such as surfacing model outputs through UIs or connecting services to ML platforms.Familiarity with data engineering tooling (e.g. Databricks, PySpark) to collaborate effectively with the data engineering team.Knowledge of Docker/Kubernetes, OpenAPI, and OAuth2/JWT.Understanding of GxP or other regulated environment requirements in life sciences.Experience facilitating Agile ceremonies as a tech lead or engineering manager.LanguagesEnglish: B2+ / C1 level required.Spanish and/or Catalan language skills are a plus.What we offerHybrid work model and flexible working schedule that would suit night owls and early birds.25 days of annual leave.Opportunities for career development and the opportunity to shape the company’s future.An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged.Different training programs to support your personal and professional development.Work in a fast-growing, international company.Friendly atmosphere and supportive Management team.

Proven track record of end-to-end ownership of enterprise software systems, from architecture to production. Seniority is measured by impact on team performance and solution quality, not years of tenure. Experience leading engineers, including performance reviews, goal-setting, and personal development follow-up. Background in the life sciences industry (e.g. clinical trials, regulatory, pharmacovigilance, R&D, or commercial operations) with understanding of its data complexity and compliance requirements. Strong proficiency in Python for backend development (FastAPI, Flask, or equivalent) and experience building APIs and services for production. Frontend experience with React and TypeScript, building web applications that consume backend APIs. Cloud engineering experience across major platforms, with preference for Azure, including deployment, monitoring, and infrastructure as code. Experience operating software at scale in production, with ownership of observability, alerting, and reliability. Confidence engaging with business stakeholders, understanding their needs, and building trust across client engagements. Good communication skills, able to explain technical decisions clearly to both engineers and non-technical audiences. Results-oriented, with a strong sense of ownership and commitment to continuous improvement. Requirements - Nice to have Experience integrating AI and machine learning capabilities at the application layer, such as surfacing model outputs through UIs or connecting services to ML platforms. Familiarity with data engineering tooling (e.g. Databricks, PySpark) to collaborate effectively with the data engineering team. Knowledge of Docker/Kubernetes, OpenAPI, and OAuth2/JWT. Understanding of GxP or other regulated environment requirements in life sciences. Experience facilitating Agile ceremonies as a tech lead or engineering manager. Languages English: B2+ / C1 level required. Spanish and/or Catalan language skills are a plus.

Hybrid work model and flexible working schedule that would suit night owls and early birds. 25 days of annual leave. Opportunities for career development and the opportunity to shape the company’s future. An employee-centric culture directly inspired by employee feedback - your voice is heard, and your perspective encouraged. Different training programs to support your personal and professional development. Work in a fast-growing, international company. Friendly atmosphere and supportive Management team.