Senior Python software engineer

Senior Python software engineer – with strong Maths background

Are you a software engineer who thrives on building robust, scalable products with a strong foundation in mathematics and analytics? We’re specifically looking for an engineer—not a data scientist—to join ScanmarQED as a Senior Python Software Engineer and play a key role in developing the core technology behind our Pulse platform—a product used by leading companies worldwide to solve complex optimization and modeling challenges. You’ll collaborate with an international team, take ownership of product modules, and help drive innovation in our software architecture. Flexible work options are available in the UK, the Netherlands, or remotely.

What will you be doing?

• Design, develop, and maintain robust well designed Python-based modules that apply advanced optimization techniques and provide analytics for our Pulse product.
• Implement and optimize algorithms for econometric marketing mix modeling, forecasting, and advanced analytics.
• Tackle large-scale data processing, model optimization, and real-world forecasting challenges. Build and enhance software capable of efficiently processing large-scale data, focusing on product functionality and performance (please note this role is not about data ingestion).
• Ensure high code quality through thorough unit and integration testing along with well documented code, promoting long-term stability and maintainability.
• Apply SOLID principles and appropriate design patterns to ensure scalable and maintainable architecture.
• Work with modern technologies including SciPy, NumPy, Pandas, SQL, cloud platforms, Docker, Kubernetes, and CI/CD tools.
• Collaborate with cross-functional teams (data science, consultants, development) across the Netherlands, UK, and US, with a focus on time zone overlap with NL/UK.
• Take ownership of key modules and contribute to the continuous improvement of our analytics platform.
• Review code, share knowledge, and contribute to best practices within the team.

Skills, experience, and education you’ll need

• Minimum 5 years of hands‑on experience with Python, including scientific libraries (especially SciPy + Pandas).
• Master’s degree in Mathematics, Computer Science, or a closely related quantitative field.
• Very strong background in mathematics, analytics, or statistical modelling with a proven ability to implement these using Python and its associated libraries.
• Experience in developing analytic and optimization solutions in a product environment.
• Valuable: Experience with marketing mix modeling, forecasting, or econometric/statistical modeling.
• Valuable: Familiarity with NumPy, SQL, cloud platforms, Docker, Kubernetes, CI/CD tools.
• Excellent communication, teamwork, and problem‑solving skills.

What we offer

• The opportunity to shape the analytics engine that drives marketing decisions for global brands.
• Collaborate with a highly skilled, international team.
• Opportunity to mentor junior engineers or take technical ownership of key modules.
• A fast‑paced, performance‑driven culture with personal attention and growth opportunities.
• Training and development opportunities, including conferences and workshops.
• A salary matching your knowledge and skills.

Company Information

ScanmarQED is a leading provider of practical analytical solutions for marketing and sales professionals. We help our clients make data‑driven decisions fast when optimizing media plans, forecasting sales, building brand equity, and planning effective price & promotional strategies. We offer the advantages of a personal, highly innovative company combined with the challenges of international, top‑tier customers, operating from our offices in the UK, US, CZ and headquarters in the Netherlands.

We are an equal opportunity employer; we value diversity at our company; it is an essential part of our success. We do not discriminate based on age, religion, sexual orientation, gender, disability or race.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting