Data Engineer (Hybrid)

Maze Impact SA.; Barcelona; Presencial; EUR 40.000 - 70.000; Jornada completa

Descripción de la vacante

A pioneering Healthtech company in Barcelona is seeking a skilled Data Engineer to join their AI and data team. You will develop efficient data pipelines and work closely with data scientists to transform healthcare with cutting-edge technology. The ideal candidate has over 3 years of experience in data engineering and strong proficiency in GCP tools. The role offers a hybrid work model and comprehensive health benefits.

Servicios

Comprehensive private health coverage

Company-sponsored gym membership

Flexible hybrid work model

MacBook laptop and top-tier GCP tools

Formación

• 3+ years of professional experience in Data Engineering or related roles.
• Proven hands-on experience with GCP data tools.
• Strong proficiency in SQL and Python for data transformation.

Responsabilidades

• Design, develop, and maintain scalable ETL/ELT pipelines using GCP tools.
• Collaborate with data scientists for model training and data flows.
• Ensure compliance with data governance standards.

Conocimientos

GCP data tools

SQL

Python

Data Engineering

ETL/ELT pipelines

Data modeling

Educación

Bachelor’s or Master’s degree in Computer Science, Engineering, or related field

Herramientas

BigQuery

Cloud Storage

Data Fusion

Dataflow

Descripción del empleo

About the company

Biorce is a pioneering Healthtech company dedicated to revolutionizing drug development through the power of AI. We are passionate about accelerating medical advancements and improving patient outcomes.

Our team comprises seasoned clinical research professionals, data scientists, and AI experts, working collaboratively to bridge the gap between cutting‑edge technology and real‑world clinical needs.

With an unwavering commitment to revolutionize healthcare, we envision a world where all patients benefit from accelerated and cost‑effective access to treatments. Biorce is poised to redefine the landscape of healthcare, shaping a future where innovation and accessibility converge for the betterment of humanity.

About the role

We’re looking for a skilled Data Engineer to join our growing AI and data team, driving the development of scalable, reliable, and efficient data pipelines in the Google Cloud Platform (GCP) ecosystem.

You’ll work closely with data scientists, AI engineers, and devops to design and operationalize robust data flows that fuel advanced analytics, machine learning, and regulatory‑grade insights.

This is an exciting opportunity to build and optimize the data backbone of Biorce’s next‑generation platform, using modern GCP‑native tools such as Data Fusion, BigQuery, and Cloud Storage, in a high‑impact, fast‑iterating environment.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines using Google Cloud Data Fusion, Dataflow, Pub/Sub, and BigQuery.
• Build and orchestrate complex data ingestion workflows from diverse clinical, research, and third‑party sources.
• Collaborate with data scientists to enable seamless model training, feature generation, and inference data flows.
• Ensure data quality, integrity, and lineage across all systems through rigorous validation and monitoring.
• Develop and optimize SQL and Python‑based transformations to ensure high performance and maintainability.
• Manage data storage, partitioning, and lifecycle strategies for efficiency and cost control.
• Ensure compliance with SOC2, ISO 27001, HIPAA, GDPR, and clinical data governance standards in all data operations.
• Continuously improve internal frameworks for ingestion, metadata management, and data documentation.
• Contribute to cross‑functional discussions to shape the evolution of Biorce’s data and AI architecture.

Required Qualifications:

• 3+ years of professional experience in Data Engineering or related roles.
• Proven hands‑on experience with GCP data tools:
• BigQuery, Cloud Storage, Pub/Sub, Data Fusion, Dataflow, Composer, and Cloud Functions.
• Strong proficiency in SQL and Python for data transformation and automation.
• Experience designing batch and streaming data pipelines with scalable and fault‑tolerant architectures.
• Familiarity with data modeling, schema design, and data warehouse optimization.
• Understanding of API‑based ingestion, data normalization, and pipeline monitoring.
• Exposure to version‑controlled, modular pipeline development (e.g., Terraform, GitOps).
• Experience working collaboratively with data scientists and MLOps teams.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related quantitative field.

Preferred Qualifications:

• Experience with clinical, biomedical, or healthcare datasets.
• Familiarity with Vertex AI, AI Platform Pipelines, or ML metadata tracking.
• Understanding of data governance and cataloging (Data Catalog, Looker, or similar).
• Knowledge of Apache Beam, Spark, or dbt for complex transformations.
• Exposure to infrastructure‑as‑code (Terraform) and containerized workflows (Kubernetes, Docker).
• Experience implementing data validation frameworks (e.g., Great Expectations, TFX Data Validation).
• Strong focus on reliability, observability, and continuous improvement of data systems.

Why Join Us?

• Build the data foundation powering AI innovation in healthcare.
• Work closely with world‑class data scientists and AI engineers on cutting‑edge use cases.
• Be part of a team that values continuous iteration, experimentation, and data excellence.
• Comprehensive private health coverage to ensure your physical and mental well‑being.
• Company‑sponsored gym membership and wellness benefits.
• Hybrid work model offering flexibility to balance your professional and personal life.
• Coffee, tea, beverages, and snacks to keep you fueled throughout the day.
• Company events to celebrate achievements and foster team spirit.
• Get equipped with a MacBook laptop and top‑tier GCP tools to maximize your impact.