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# Data Hub Tech Lead

- **Company:** Búsqueda Avanzada
- **Location:** Barcelona, Spain
- **Salary:** €59,600.0 - €79,467.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Data Architecture, Data Governance, Data Hub, Data Integration, Data Security, Python (Programming Language), Operational Data Store, SQL Databases, Data Processing, Azure Data Factory, Pandas, Pyspark, Data Pipelines, Databricks
- **Published:** July 21, 2026
- **Apply:** https://www.adzuna.es/contact-us.html

## About the Role

+ Strong experience in architecting and delivering cloud-based data analytics solutions.
 + Hands-on expertise with Databricks, Azure Data Factory, and event-driven data architectures.
 + Proficiency in data processing languages (e.g. Python/PySpark, SQL) and managing large-scale data operations.
 + Familiarity with data governance, security, and compliance requirements (experience in healthcare or regulated sectors is a plus).
 + Experience with cloud infrastructure and networking in Azure.
 + Fluent in english.
 + Comfortable with agile enviroments.
 + Comfortable in a collaborative, matrixed organization with shared decision-making.
 + Understanding of data governance, security, and compliance (regulated sectors or healthcare are a nice-to-have!

## Description

We are looking for a Data Hub Tech Lead for our medtech client! This german company is a TOP lead in the medical industry, renowned for its commitment to innovative solutions in patient care. With a legacy spanning decades, they are currently expanding their Tech Hub in Barcelona.
As a Data Hub Tech Lead, you will lead the technical evolution and act as Technical Product Owner for
operational Data & Analytics components of customer-facing digital
products centered around better healthcare!
Are you interested in IoMT? Don't look further!
What will you do?

 + Lead the technical evolution and act as Technical Product Owner for operational Data & Analytics components of customer-facing digital products.
 + Build on an established setup and ensure data-centric solutions that fully leverage their data governance framework.
 + Align closely with their Data-Analytics and AI Teams to apply organizational standards for infrastructure and governance.
 + Design and optimize data pipelines for ingesting and processing internal API and streaming device data using Databricks, Azure Data Factory, and other standard Azure data services.
 + Oversee the development of event-based, real-time analytics to power dashboards and analytical frontends for business and clinical customers.
 + Collaborate with data scientists, engineers, and stakeholders to deliver robust, scalable, and secure data solutions.
 + Mentor team members and promote best practices in cloud data engineering and analytics.
 + Ensure ongoing compliance, data quality, and high operational standards in a regulated environment.
Tech Stack: SQL, Python (PySpark, Pandas), Azure Cloud, Databricks, Azure Factory or similar.


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