Python Developer & AI Agents Engineer

Qualifyze; Barcelona; Híbrido; EUR 50.000 - 60.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid work mode

Annual personal development budget

Private health care

Meal allowances

European all-company event

Up to 3 months remote work

Company-provided equipment

Descripción de la vacante

Qualifyze, a leader in supply chain compliance, is seeking a hands-on engineer to drive AI-powered automation and data transformation. You will partner with business teams to define problems, design scalable workflows, and deliver end-to-end solutions from PoC to production.

You will build and maintain ETL/ELT pipelines with dbt, integrate APIs and webhooks, and leverage Docker/Kubernetes for deployment. A proactive, collaborative mindset is essential.

Formación

• Deep understanding of business processes and optimization mindset.
• Strong programming skills in Python and/or Java, with strong SQL for automation and data transformation.
• Proven experience building and maintaining ETL/ELT pipelines using dbt or similar frameworks.
• Hands-on experience executing automations.
• Practical experience with LLMs and AI agents in production.
• Solid DevOps knowledge: containerization, orchestration, and deployment best practices.
• Familiarity with integrating APIs and webhooks to automate workflows.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Excellent collaboration and ownership across technical and business teams.
• Proactive and self-driven mindset, balancing cost and performance.

Responsabilidades

• Partner with business teams to understand processes and identify AI-driven transformation opportunities.
• Define business problems, success metrics, feasibility, risks, and ROI.
• Map, document, and analyze current processes, systems, and data flows; propose scalable workflows.
• Design and deliver end-to-end solutions from PoC to production.
• Develop automation and AI-based systems integrated with internal platforms via APIs and webhooks.
• Prepare and package solutions for DevOps deployment standards, with containerization and orchestration familiarity.
• Establish quality, performance, and safety monitoring for all solutions, including AI agents.
• Design ingestion and transformation pipelines using dbt for scalable automation and analytics.
• Drive continuous improvement and operational excellence through innovative solutions.

Conocimientos

Python

Java

SQL

dbt

ETL/ELT pipelines

LLMs and AI agents

APIs & webhooks

DevOps basics

Docker

Kubernetes

Herramientas

Docker

Kubernetes

dbt

Descripción del empleo

About Qualifyze:

Founded in 2019, Qualifyze is a leading company in supply chain compliance management in the Life Sciences industry, trusted by over 1,500 pharmaceutical and healthcare companies globally. Our digital suite of solutions connects manufacturers, suppliers, and a global network of more than 250 auditors and quality experts.

With a track record of over 4,500 audits across 85+ countries and the largest and most accurate supplier network and data analytics tools, Qualifyze stands as the all-in-one partner for quality compliance and supply chain risk mitigation in the Life Sciences sector.

Main responsibilities:

The team member shall perform the present tasks inherent to such position, including, but not limited to, the following:

• Partner with business teams to develop a deep understanding of their processes and to identify and scope high-impact transformation opportunities through AI and automation.

• Define the business problem, success metrics, feasibility, risks, and ROI.

• Map, document, and analyze the current processes, systems, and data flows across the existing tool landscape. Challenge existing processes and assumptions, identify bottlenecks, and propose new workflows and tooling that enable scalability and efficiency.

• Design and deliver new solutions end-to-end, from proof of concept to production.

• Develop automation and AI-based systems such as intelligent routing, workflow orchestration, and AI agents running in production, integrated with internal platforms via APIs and webhooks.

• Prepare and package solutions according to the standards of the DevOps team so they can be deployed and operated in a plug-and-play manner. This does not mean acting as a DevOps engineer, but having a solid conceptual understanding of containerization (Docker), orchestration (Kubernetes), and modern deployment practices, so that what you build fits seamlessly into our operational standards.

• Establish quality, performance, and safety monitoring for all solutions, including the LLM-powered agents running in production. Work closely with the AI team to ensure compliant usage of Agents. Create documentation, runbooks, and handovers to ensure sustainable operations.

• Design ingestion and transformation pipelines using dbt, to support automation, analytics, and decision-making at scale.

• Act as a catalyst for continuous improvement by challenging the status quo and driving operational excellence through innovation and simplification.

What are we looking for?

• Deep understanding of business processes, with a strong process-mapping and optimization mindset focused on measurable efficiency gains and anticipation of edge cases and failure modes.

• Strong programming skills in Python and/or Java, with strong SQL, for automation, data transformation, and system integration.

• Proven experience building and maintaining ETL/ELT pipelines using dbt or similar frameworks.

• Hands-on experience executing automations.

• Practical experience with LLMs and AI agents, including building and running agentic workflows in production, and a habit of actively keeping up to date with the fast-evolving developments in the field.

• Solid conceptual DevOps knowledge, including containerization (Docker), orchestration (Kubernetes), and deployment practices, sufficient to prepare solutions to the standards of a DevOps team for smooth, standardized deployment.

• Familiarity with integrating APIs and webhooks to automate cross-system workflows.

• Experience working with cloud platforms such as AWS, GCP, or Azure.

• Excellent collaboration, stakeholder communication, and ownership across technical and business teams, and participates in code/design reviews.

• A proactive and self-driven mindset, with a passion for solving complex problems through simple, scalable solutions, understanding cost vs. performance tradeoffs.

Salary

Salary ranges are transparent internally. For this role, the expected salary range is around €50,000 - €60,000, centred around the median. Final compensation will depend on experience and performance during the process, with some flexibility within the range.

What do we offer?

• Competitive, annually reviewed compensation package

• Country vacation package that increases with your tenure

• Country specific benefits offering incl. private health care, fitness and meal allowances

• Annual personal development budget to increase your impact

• Hybrid working mode, plus up to 3 months of the year work from anywhere

• All the best kit and tools to work effectively

• Annual in person all company event and celebration in Europe

• Working with an exceptional team, doing some of the best work of your career

Use of AI in Our Recruitment Process

We believe in a human-led hiring process. All applications are reviewed manually by our Talent Acquisition team, and neither Talent Acquisition nor Hiring Managers use AI to screen, filter, rank, assess, or make decisions about candidates, including during interviews and assessments. During interviews, AI may be used only to support note-taking and transcription.

All hiring decisions are made by people.

Diversity & Inclusion at Qualifyze

At Qualifyze we actively support the power of diversity, uniting complementary talents and perspectives to address new challenges. Our collective strengths help us to find innovative solutions and turn difficulties into opportunities. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone belongs and feels heard.

We are an equal opportunity employer and we welcome applications from candidates of all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, marital status, religion, disability, or age. Our hiring practices are rooted in fairness and respect, and we strive to create a culture where everyone feels valued and empowered.