Senior Business Operations Engineer

• 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.

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 €65,000 - €70,000, centered around the median.

Final compensation will depend on experience and performance during the process, with some flexibility within the range.

• 💰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

As an Operations Engineer, you will lead efforts to scale our organization through process automation and AI integration. Your mission is to identify operational bottlenecks, design intelligent workflows, and deliver data-driven automated solutions that enhance productivity, decision-making, and operational quality across the company.

This role bridges the gap between business processes, data engineering, and technology, working within the Finance department in close partnership with our Business Intelligence (BI) and Data Engineering teams.

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

• Partner with business teams 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 current processes, systems, and data flows across the existing tool landscape. Evaluate existing processes and assumptions, identify bottlenecks, and propose new workflows and tooling that enable scalability and efficiency. Work with the data and BI teams on new and updated data models to enable workflows.

• Design and deliver new solutions end-to-end, from proof of concept to production. Develop automation and AI-based systems such as intelligent routing or workflow orchestration, integrated with internal platforms via APIs and webhooks.

• Establish quality, performance, and safety monitoring for all solutions. Work closely with Security, Legal, and Privacy to ensure compliant data use and vendor management. Create documentation, runbooks, and handovers to ensure sustainable operations.

• Collaborate with the data engineering and BI team to design ingestion and transformation pipelines using dbt and LLM-powered workflows in Python, to support automation, analytics, and decision-making at scale.

• Act as a driver for continuous improvement by advancing operational efficiency through innovation, simplification, and collaborative problem-solving.