We’re looking for a Data Engineering Team Lead to join our growing Data and AI Engineering practice - a role designed for someone who thrives at the intersection of technical excellence and people leadership. This is not about being the most senior engineer in the room; it’s about being the person who makes the whole team better. You will guide a team of data engineers working on high-impact projects in the life sciences and healthcare industries, define data architecture standards, and collaborate with stakeholders to explore and shape new use cases.

Lead, mentor, and support a team of data engineers, fostering a culture of quality, ownership, and continuous learning. Conduct regular 1:1s, provide technical guidance, and support the career development of your direct reports. Collaborate with interdisciplinary teams, including data architects, clinical SMEs, and business stakeholders.

Lead, mentor, and support a team of data engineers, fostering a culture of quality, ownership, and continuous learning. Conduct regular 1:1s, provide technical guidance, and support the career development of your direct reports. Collaborate with interdisciplinary teams, including data architects, clinical SMEs, and business stakeholders.

Define and drive data architecture standards, design patterns, and engineering best practices across the team. Build and oversee scalable data pipelines using Databricks, dbt, PySpark, and SQL on cloud environments (Azure, AWS, GCP). Execute and oversee data harmonization processes on clinical trial datasets to ensure consistency, quality, and interoperability.

Develop and implement complex data processing and integration strategies to derive actionable insights that support key stakeholder decision‑making. CI/CD,



pipeline versioning, testing, lineage, observability, and deployment automation. Contribute to project scoping, effort estimation, and roadmap planning.

Represent the data engineering function in cross‑functional discussions and technical forums. A proven track record of end‑to‑end ownership of enterprise‑scale data solutions - from architecture and design through implementation, production deployment, and operational handover. Demonstrated experience in a lead or senior engineering capacity, recognized for the impact delivered on team performance, solution quality, and stakeholder outcomes - not simply tenure. clinical trials, regulatory submissions, pharmacovigilance, R&D; data, or commercial operations), with a strong grasp of the domain’s data complexity, standards, and compliance requirements.

Proven ability to lead, mentor, and grow a team of engineers in a collaborative environment, including conducting performance reviews, setting individual goals, and following up on personal development plans. Solid cloud data engineering background, comfortable working across major cloud platforms (AWS, GCP, Azure) with a preference for candidates with strong Azure and Databricks experience, including Unity Catalog, PySpark, Python, and SQL.



Demonstrated experience processing and engineering large‑scale datasets in production environments, including responsibility for performance monitoring, observability, alerting, and operational reliability of data systems.

Experience defining data architecture, platform standards, and engineering best practices at a team or project level. Excellent verbal and written communication skills for conveying complex data findings and architectural decisions to both technical and non‑technical audiences. Infrastructure automation using Terraform, Bash, or PowerShell. Familiarity with GxP or other healthcare data regulations.

Experience facilitating Agile ceremonies (Scrum or Kanban) as a tech lead or engineering manager.

Experience with non‑relational data systems (e.g., MongoDB, CosmosDB).

Experience enabling AI and machine learning use cases through data — building the data foundations, pipelines, and feature stores that power AI‑driven solutions in a life sciences or enterprise context. Spanish and/or Catalan language skills are a plus. Hybrid work model and flexible working schedule that would suit night owls and early birds. ~Different training programs to support your personal and professional development. ~ Friendly atmosphere and supportive Management team.

About us MIGx is a general consulting company with an exclusive focus on the healthcare and life science industries, with their particularly demanding requirements on quality and regulatory aspects. MIGx interdisciplinary teams from Switzerland, Spain and Georgia have been taking care of projects in the fields of M&A;, Integration, Application, Data Platforms, Processes, IT management, Digital transformation, Managed services and compliance. #

📌 Data Engineer Team Lead (Laza)
🏢 MIGx
📍 Laza