Lead Product Software Engineer

Lead Product Software Engineer

If making a difference matters to you, then you matter to us. Join us, at Wolters Kluwer, and be part of a dynamic global technology company that makes a difference every day. We're innovators with impact. We provide expert software & information solutions that the world's leading professionals rely on, in the moments that matter most.

You'll be supported by collaborative colleagues who share a purpose. We are 21,000 people unique in our dreams, life stories, abilities, and passions who come together every day with one ambition: to make a difference. We do our best work together, connecting to create new innovations with impact.

About the Role:

We are hiring a Lead Product Software Engineer to drive the engineering strategy and leadership across a multi-layered analytics ecosystem that powers enterprise decision-making. This role is ideal for someone who combines technical depth, architectural thinking, and cross-functional leadership in building scalable, secure, and governed data platforms.

The role has a strong focus on engineering excellence, platform reliability, and team enablement. While there is an aspect of guiding and shaping engineering practices, a solid hands-on foundation in Python, infrastructure-as-code, and cloud-native data operations is essential to effectively mentor the team, make informed decisions, and uphold platform standards.

Roles & Responsibilities:

• Define and own the data engineering strategy, ensuring alignment with business goals, architectural standards, and operational KPIs.
• Lead and mentor data engineers, fostering a culture of autonomy, technical excellence, and continuous improvement.
• Drive infrastructure-as-code adoption (Terraform) and cloud-native engineering practices across the platform.
• Oversee CI/CD pipelines and GitHub Actions integration for data workflows, ensuring reliable and secure deployments.
• Collaborate with product, architecture, and platform teams to evolve the ecosystem.
• Ensure engineering practices are aligned with company-wide standards.
• Guide the team in building scalable, maintainable, and observable data pipelines using Python and Azure services.
• Partner with QA, product, and analytics teams to embed reliability and governance early in the development lifecycle.

Knowledge, Skills, Abilities:

• Proven experience leading engineering efforts in cloud-native, analytics-driven environments.
• Strong proficiency in Python.
• Hands-on experience with Terraform and infrastructure-as-code principles.
• Deep understanding of Azure services, CI/CD pipelines, and GitHub Actions.
• Good communication, stakeholder management, and leadership skills.
• Skilled in mentoring and developing engineers, fostering a culture of ownership, accountability, and technical growth.
• Experience working in Agile environments, including Scrum and SAFe frameworks.
• Familiarity with Azure data services.
• Understanding of data governance, metadata management, and secure data operations.

Our Offer:

• Room for personal development through external, internal training tools and learning and development program #GROW. Be your unique self, share your creative ideas, do your best work, and take time to grow in our caring and inclusive culture where you can belong.
• Annual incentive plan based on division financial performance and your seniority.
• Referral bonus, meal vouchers, monthly allowance, gift vouchers twice a year.
• Corporate Health Insurance.
• Mindfulness and Wellbeing programs (Wellbeats, MyQuillibrium, Compsych, Mind & Body webinars).
• Up to 28 days of annual leave based on seniority.
• We have a strong work from home culture and take into consideration punctual needs and more.
• Flexible working schedule. You'll find the flexibility for balance in your life.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.