Data & AI Engineering Team Lead (Life Sciences)

MIGx AG; Barcelona; Hybrid; EUR 90,000 - 120,000; Full time

Benefits offered by this job

Hybrid work model

25 days leave

Career development

Employee-centric culture

Training programs

International company

Friendly atmosphere

Job summary

MIGx AG in Barcelona, Spain, is seeking a Software Engineering Team Lead to guide a data and AI engineering squad. You will be a player-coach, writing Python backends and shaping frontend apps in React/TypeScript while mentoring engineers.

You will own end-to-end delivery on life sciences client engagements, help evolve MIGx's engineering capabilities, and drive architecture decisions, code quality, and best practices across teams.

Qualifications

• Proven end-to-end ownership of enterprise software from architecture to production.
• Experience leading engineers, performance reviews, and personal development.
• Background in life sciences or regulated environments with data complexity.
• Strong Python backend development and API design for production.
• Frontend experience with React/TypeScript consuming backend APIs.

Responsibilities

• Lead and mentor a team of full-stack and backend engineers with regular 1:1s and reviews.
• Escalation point for technical challenges to keep the team unblocked.
• Collaborate with data/AI engineers to align architecture and delivery.
• Assist in hiring criteria, assessments, and onboarding of new team members.
• Own features end-to-end from requirements through testing and monitoring.

Skills

Team leadership

Python backend

React/TypeScript frontend

Architectural design

Cloud (Azure)

CI/CD and testing

Observability and reliability

Stakeholder communication

Product delivery ownership

Job description

MIGx AG in Barcelona, Spain, is seeking a Software Engineering Team Lead to guide a data and AI engineering squad. You will be a player-coach, writing Python backends and shaping frontend apps in React/TypeScript while mentoring engineers.

You will own end-to-end delivery on life sciences client engagements, help evolve MIGx's engineering capabilities, and drive architecture decisions, code quality, and best practices across teams.