Python Engineer

Python, Dagster, dbt, Snowflake, AWS. Join us to engineer the pipelines, ML and AI infra that power real-world relationships - with speed, scale and impact.

Goal of the Role:
Own and improve our reliable, scalable data and ML infrastructure that powers better recommendations, smarter decisions and a safer, better user experience. You’ll turn raw data into production-ready pipelines and ML+AI models that directly improve match accuracy, user retention and team efficiency across the company.

Key Result Areas:

1. Design, implement and maintain scalable data infrastructure:

   1. Build and optimize ETL pipelines to ensure high-performance and scalable data processing.

   2. Extend automation and testing capabilities for fault-tolerant and scalable systems.

   3. Collaborate with engineers to build out a scalable data infrastructure that acts as a single source of truth.

2. Deliver clean and accessible data to unlock advanced insights:

   1. Enable colleagues to carry out advanced analytics to drive data-informed decision-making by supporting the underlying data engineering needs.

   2. Develop and deploy machine learning models to enhance personalization, optimize recommendations, and improve operational efficiency.

3. Optimize our recommender system to drive a better user experience:

   1. Improve matching algorithms to connect users more effectively and drive engagement.

   2. Leverage various predictive modeling techniques to maximize user experience through better matching and personalization.

4. Apply ML and AI to power personalisation, safety and automation:

   1. Identify automation opportunities within acquisition and screening to increase operational efficiency and reduce costs.

   2. Utilize computer vision, NLP, and machine learning for automated detection of scam and fake profiles, rude and inappropriate behaviour in conversations, etc

5. Drive the vision for how data, ML and AI can Improve the UX and business:

   1. Define and implement a strategic roadmap for scaling data engineering and data science efforts.

   2. Collaborate cross-functionally with product, engineering, marketing, and other teams to unlock operational capabilities.

What will help you be successful

• Educational background in a STEM field (e.g. Computer Science, Engineering, Data Science)

• 3–5+ years of professional experience in Python development, preferably within data or ML engineering roles

• Strong experience with ETL frameworks and data orchestration tools (e.g. Dagster, dbt)

• Proficiency with data warehousing platforms (e.g. Snowflake)

• Hands-on experience with AWS services (e.g. S3, Lambda, ECS, SageMaker, OpenSearch)

• Strong SQL skills and experience designing data models for analytics and ML workflows

• Experience deploying ML models in production and monitoring performance

  • Bonus: experience with recommender systems

• Experience working in cross-functional teams and collaborating with non-technical stakeholders

• Team player who enjoys working with others

• Strategic Thinking: Connects business goals with data solutions

• Initiative & Ownership: a self starter who owns projects from start to finish

• Adaptability: Open to learning, experimenting and improving continuously

What we offer

• A career opportunity that makes a positive impact on people's lives

• A competitive salary matched with your experience and ambition

• An amazing work environment in our office at Prins Hendrikkade, at the heart of Amsterdam

• A Macbook or other hardware of your choice to be able to do your job

• Stay healthy and bring your own device allowance

• Training and development budget

• Frequent team get-togethers and team activities

• Free Inner Circle VIP membership for you and your single friends

About Inner Circle

Inner Circle is less like a dating app, more like a member’s club made for dating. Niche by design, it’s for people who live ambitious, interesting lifestyles – and want to date people who move in similar circles. Built on the belief that opposites don’t attract, a thorough application and screening process curates a community where everyone is worth dating – and people have more in common than just being single.

The independent bootstrapped tech company ranked in the FT1000 2020 list as one of the fastest-growing companies in Europe. The company was also the winner of Deloitte’s Technology Fast 50 in The Netherlands in 2018.

At Inner Circle, we embrace our diverse community and team. We celebrate differences and know that they are key for helping us grow. Our team consists of 40 team members, with 16 nationalities and a female: male ratio of 60 : 40. Whatever your race, religion, colour, gender, national origin, political affiliation, sexual orientation, marital status, disability or age, we make sure everyone has the space to be themselves.

Ready to make an impact? Let’s get the ball rolling, by applying now!