Meet the team - Know the product

Finmatics is a fast-growing software as a service (SaaS) company that provides artificial intelligence (AI) solutions to thousands of businesses of all sizes. Our mission is to automate financial & accounting processes in order to eliminate unnecessary manual tasks.

Let’s talk about our people

An open, honest, and dynamic corporate culture based on equality is our top priority. Every day, we encourage our employees to contribute their creativity, their own ideas, and their creative suggestions, even across departments.

As a Data Engineer, you’ll be the architect of Finmatics’ data infrastructure, bringing together product usage data, transactional data, and CRM insights from HubSpot into a unified, analytics-ready environment. You’ll work hand-in-hand with Product, Data Science, and Sales and Marketing teams to enable deep understanding of our customers, measure product impact, and unlock data-driven decision-making across the company.

What You’ll Be Doing:

Software Development and Strategy:

• Establish a secure internal data platform supporting analytics across departments.
• Build ETL/ELT pipelines that integrate product usage data, Finmatics transaction data, HubSpot CRM, and other sources.
• Ensure data accuracy, quality, and compliance (including GDPR).
• Collaborate with Product to track feature adoption and usage patterns.
• Partner with Data Science to provide clean, structured datasets for modeling.
• Support Sales with customer insights for growth and retention strategies.
• Monitor, troubleshoot, and continuously improve data pipelines and infrastructure performance.
• Utilize modern tools, including LLMs and other high-productivity technologies.

Collaboration & Sharing:

• Mentor and coach junior colleagues in technical competencies.
• Collaborate with product managers and designers to define and prioritize features.
• Foster a culture of continuous learning and knowledge sharing within the team.

Agile Processes and Delivery:

• Follow agile practices, participating actively in sprint planning, reviews, and retrospectives.
• Ensure timely project delivery while maintaining and promoting high-quality standards.

What We’re Looking For:

• Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
• 3+ years of experience as a Data Engineer or similar role.
• Proven expertise (minimum 3 years experience) with data warehouse technologies (Snowflake, BigQuery, Redshift, Databricks or similar).
• Strong skills in SQL and Python (or another scripting language).
• Experience with ETL/ELT tools (dbt, Airflow, Fivetran, Stitch, etc.).
• Cloud platform experience (AWS, GCP, or Azure).
• Strong understanding of data modeling for analytics and customer data platforms.
• Knowledge and active usage of modern, LLM-supported development tools
• Excellent communication skills in English; German business fluency is a strong bonus.

Nice to Have:

• SaaS scale-up experience.
• Knowledge of real-time data streaming (Kafka, Flink).
• Familiarity with customer data platforms and churn/retention/product analytics.
• Expertise in DevOps practices and tools such as Docker, Kubernetes, and Jenkins.
• Strong communication and interpersonal skills.
• Experience in coaching and developing junior team members.

What we offer:

We provide a comprehensive benefits package that supports your career development, work-life balance, and overall well-being.

Ready to dive deeper into our benefits? Click on the video below and learn more!

Want to get to know us better? You can find more about us on Linkedin, Facebook, and also check out our own Tech Zone.

Join us and make progress happen!