Mid/Senior Data Engineer

Help us use data to unlock opportunity.

Our mission is to enable upward social mobility for people in diverse communities around the world by giving entrepreneurs - often excluded from traditional banking systems - access to credit. Data is at the core of how we make fair, fast, and responsible decisions.

We’re looking for a Mid/Senior Data Engineer to help us scale our data platform and support profitable growth in a fast-developing market. In this role, you’ll work on high-impact data pipelines, real-time systems, and production-grade ML infrastructure that directly power our decision engines.

What You will need:

• 3+ years of experience in data engineering, analytics, or MLOps-related roles
• Strong proficiency in SQL, Python and Terraform CLI
• Hands-on experience with ETL/ELT pipelines, data migrations, and data modeling
• Familiarity with Snowflake, including performance and cost optimization principles
• Experience with Confluent Cloud / Apache Kafka
• Familiarity with or experience using Apache Flink
• Experience with Docker and production deployments
• Understanding of MLOps concepts (reproducibility, model versioning, monitoring)
• Comfort working with CLI tools and Git
• Ability to work independently and manage multiple priorities
• Strong analytical mindset, cost awareness, and high attention to data quality

How Your day will look like:

• Designing, implementing, and maintaining scalable, high-performance data pipelines (ETL/ELT)
• Optimizing performance and cost efficiency, especially in Snowflake and Confluent Cloud
• SQL query tuning, data structure optimization, and conscious resource usage
• Integrating data from internal systems and external / streaming platforms
• Working with Kafka-based streaming architectures and near real-time data processing
• Building online features used by decision engines
• Working with or learning Feature Stores (e.g. Feast), both offline and online
• Ensuring reproducible model training and feature pipelines
• Participating in data migrations (planning, execution, testing, validation)
• Developing and maintaining data infrastructure based on SQL Server and Snowflake
• Creating and maintaining reports and dashboards for operational and management needs
• Containerizing solutions using Docker and deploying models and rules to production
• Integrating models and rules with a decision engine
• Supporting real-time inference and scoring
• Managing model versioning, monitoring, and lifecycle in line with MLOps best practices
• Collaborating closely with analytics and business teams on ML deployments

With us You will:

GROW FASTER

• Work alongside smart, driven, and supportive teammates
• Receive continuous feedback and real opportunities to improve
• Take full ownership of meaningful projects from day one

MAKE AN IMPACT & WIN

• See your work directly influence business decisions and real-world outcomes
• Move fast in a low-bureaucracy, high-trust environment
• Have full visibility into company goals, results, and strategy
• Be rewarded with a results-oriented bonus
• Celebrate achievements - big and small - together

FEEL GOOD

• Enjoy a hybrid work model in a modern, comfortable office
• Benefit from flexible working hours that respect your life outside work
• Feel supported with health insurance and wellness initiatives
• Be part of an active social culture with regular team events

Salary 3000 - 3500 EUR net.