Senior Analytics & Automation Engineer

qualifyzegmbh; Barcelona; Presencial; EUR 55.000 - 70.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working mode

Annual development budget

Private health care

Meal allowances

European all-company events

Descripción de la vacante

Qualifyze is seeking a Business Operations Engineer to bridge business, data, and tech, building data-driven, AI-powered solutions that scale our operations.

You will work in the BI team within Finance, drive automation, API integrations, and end-to-end delivery from concept to production, with a strong DevOps mindset.

The role offers a hybrid work model in Europe, competitive pay (€55,000 - €70,000) and opportunities to shape processes with AI, dbt pipelines, and cloud tech.

Formación

• Deep understanding of business processes and process mapping.
• Strong programming skills in Python and/or Java, with SQL.
• Proven experience building ETL/ELT pipelines with dbt or similar.
• Hands-on experience with automations.
• Practical experience with LLMs and AI agents, including production workflows.
• Solid DevOps knowledge: containerization (Docker), orchestration (Kubernetes), and deployment practices.
• Familiarity with APIs and webhooks to automate cross-system workflows.
• Experience with cloud platforms AWS, GCP, or Azure.
• Excellent collaboration and ownership across technical and business teams.
• Cost vs. performance tradeoffs mindset.

Responsabilidades

• Partner with business teams to identify high-impact AI/automation opportunities.
• Define the business problem, success metrics, feasibility, risks, and ROI.
• Map and analyze current processes and data flows; propose scalable workflows.
• Design and deliver end-to-end solutions from concept to production.
• Develop AI-based systems like intelligent routing and workflow orchestration.
• Prepare solutions for plug-and-play deployment with DevOps standards.
• Establish monitoring for quality, performance, and safety of solutions.
• Create documentation and handovers for sustainable operations.
• Design ingestion and transformation pipelines using dbt.

Conocimientos

Python

Java

SQL

LLMs and AI agents

APIs and webhooks

Process mapping mindset

Cost-performance tradeoffs

Herramientas

Docker

Kubernetes

dbt

AWS

GCP

Azure

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.

Role Overview

As a Business Operations Engineer, you sit at the intersection of business, data, and technology, and you use that viewpoint to scale how the organization works. Your mission is to understand our business and its processes deeply, identify where they can be made faster, simpler, and more reliable, and deliver data-driven, automated, AI-powered solutions that raise productivity, sharpen decision-making, and drive operational excellence across the company.

This is a business-first, deeply technical role. You combine a genuine understanding of how the business runs with strong engineering skills, including data engineering, programming, and enough DevOps fluency to prepare your solutions for clean, standardized handover to production.

This role is integrated in the BI team, which sits within the Finance department.

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

At Qualifyze, our salary ranges are transparent internally, and we aim to follow a similar approach externally. For this role, we’re happy to share a reference point within the band: the expected salary range is around €55,000 - €70,000, 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

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.