11 publicaciones de empleo destacadas de site reliability engineer en catalunya (¡Están contratando!)

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Senior Data Engineer

IQVIA -
Barcelona, Barcelona provincia

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Detalles del empleo

Jornada completa
Hace 2 días

Cualificaciones

CI/CD
Relational databases
DevOps
Microsoft SQL Server
SQL
Machine learning
PostgreSQL
APIs
ETL
Escalabilidad
Python

Descripción completa del empleo

Barcelona, Spain | Full time | Home-based | R1541600

Data Integration Team – Senior Data Engineer

About the Data Integration Team (DIT)

The Data Integration Team (DIT) is responsible for onboarding and integrating healthcare data from hospitals into the IQVIA ecosystem. We design, build, and operate robust ETL pipelines that transform complex clinical data into structured, high-quality datasets used by downstream applications such as data warehouses, analytics platforms, and machine learning solutions.

Our work primarily focuses onon-premisehospital environments, interacting with a wide variety of Electronic Health Record (EHR) systems and heterogeneous data sources. We collaborate closely with the Data Management team, Product, AI/ML, and Support teams to ensure reliable data delivery and continuous improvement of our integration processes.

DIT operates at the intersection of engineering, healthcare, and operations, combining delivery, troubleshooting, and continuous optimization of ETL pipelines across multiple international projects. You will work within a standardized ETL framework used across hospital integrations—extending reusable patterns while adapting to site-specific source systems, data models, and deployment constraints.

What we are looking for

We are looking for a Senior Data Engineer who combines strong technical expertise with ownership and a proactive mindset.

You will play a key role in designing and developing data integration pipelines, while also supporting ongoing operations and contributing to improvements in scalability, reliability, and maintainability.

In addition to hands-on development, we are looking for someone who can:

Guide technical decisions

Support and mentor other engineers

Contribute to structuring and improving team processes

Your Responsibilities

Design, build, and maintain ETL pipelines to integrate hospital data into the IQVIA ecosystem

Work with complex healthcare data sources (EHR systems, flat files, APIs) and map them to target data models

Extend and maintain shared ETL frameworks, mapping configurations, and reusable patterns across hospital projects

Execute and monitor historical and incremental data loads, ensuring data quality and reliability

Implement data validation and quality checks as part of pipeline design

Troubleshoot ETL failures, performance issues, and data inconsistencies across environments

Collaborate with cross-functional teams (DM, Product, AI/ML, Support) to align on requirements and delivery timelines

Contribute to standardizing ETL patterns, improving monitoring, and reducing operational overhead

Support deployments and environment setup inon-premisehospital infrastructures

Provide technical guidance and mentoring to other team members where needed

Participate in planning, prioritization, and continuous improvement of team processes

Operating model

This is a hands-on senior role with a mix of project delivery and production support. You will spend meaningful time building and extending pipelines, while also troubleshooting live integrations, supporting incremental and historical loads, and helping stabilize deployments inon-premisehospital environments. Remote-first collaboration is the norm; occasional access to hospital systems via VPN or on-site setup may be required depending on the project.

Your Profile

You are a hands-on engineer with a strong sense of ownership and curiosity. You enjoy working on complex data problems and navigating imperfect or evolving environments.

You are comfortable balancing delivery, support, and technical improvement, and you can clearly communicate technical concepts to both technical and non-technical stakeholders.

You thrive in collaborative environments and are motivated to improve not only systems, but also the way teams work.

Requirements

5 years of experience in data engineering, backend engineering, or a closely related field, with significant hands-on ETL exposure

Strong experience with Python for data engineering (modular, testable, scalable code)

Solid experience building and maintaining ETL pipelines end-to-end in production

Strong SQL skills (DDL/DML) and experience with relational databases (Microsoft SQL Server and/or PostgreSQL)

Experience integrating or transforming clinical or healthcare datasets

Experience troubleshooting data pipelines and working in production environments

Ability to handle complex data mappings and transformations

Experience working withon-premiseenvironments and infrastructure constraints

Good understanding of data pipeline lifecycle (historical loads, incremental loads, monitoring, error handling)

Experience designing reusable ETL patterns that others can maintain and extend

Ability to communicate clearly with technical and non-technical stakeholders

Experience working in collaborative teams and contributing to technical discussions

Senior-level experience with willingness to take ownership and guide others

Nice to have

Experience with orchestration tools (e.g. Prefect, Airflow, Luigi)

Knowledge of healthcare data standards (FHIR, OMOP)

Experience with monitoring and support models for data pipelines

Familiarity with EHR systems and hospital source data models

Experience with DevOps practices (CI/CD, automation, containerization)

Exposure to data quality frameworks and validation strategies

Experience with schema migrations and versioned database changes

Experience mentoring or leading small technical initiatives

Opportunities

Work on real-world healthcare data, contributing to improved patient outcomes and clinical insights

Gain experience with complex, large-scale data integration challenges across multiple hospitals

Help shape a standardized integration platform used across international hospital deployments

Collaborate with cross-functional teams across engineering, product, analytics, and operations

Drive improvements in ETL architecture, monitoring, and operational processes

Work at the intersection of clinical data standards (FHIR/OMOP) and modern Python ETL engineering

Exposure to international projects and diverse healthcare systems

SKILLS LIST:

Python

SQL

Relational databases— Microsoft SQL Server, PostgreSQL (

ETL / ELT

Data modeling & mapping

Data pipeline lifecycle

DevOps

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at https://jobs.iqvia.com

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is zł177,500.00 - zł329,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

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