(Senior) Data Engineer

Your mission

Machine Learning (ML) is revolutionizing the way of doing business at a global scale. In business lending, Finiata takes the technological forefront by developing proprietary technology that allows us to take accurate decisions in a fully data driven fashion. YOU will contribute to further develop the in-house all-data-things technology by engineering and productizing novel pipelines and ML models.

Note: This position is open from junior to senior level, depending on each candidate’s expertise

You will:

• Work closely with Data Scientists, Backend Engineers, Quality Engineers and DevOps to operationalize proprietary machine learning technology to different problems
• Design and maintain scalable ETL infrastructure usable in multiple scenarios and applications (e.g.: data science, advanced analytics)
• Design and develop health and performance monitoring tools of data pipelines and the production of machine learning technologies
• Design and improve heterogenous, asynchronous and high-performance large-data processing pipelines from/to multiple sources/destinations
• Operationalize innovative, data-intensive, end-to-end machine-learning(ML)-based decision engines

Your profile

• Highly motivated with excellent communication and strong interpersonal skills
• In-depth knowledge and professional working experience with software engineering, ETL pipelines and setting up machine learning workflows
• Proficiency in Python
• Experience in implementing and deploying REST microservices and Kafka messaging queues in AWS cloud ecosystem
• Basic understanding of data science project lifecycles and commonly associated RDBMS/NoSQL technologies
• Fluent written and verbal communication in English

As a plus:

• 2+ years of experience in deploying and maintaining in production data pipelines working at scale which are fuelling and/or being fueled by machine learning models in production

Why us?

• Get to make an impact on thousands of businesses every day
• Participate in a self-organized, continuously improving team
• Work with the best and learn from other competent and brilliant people
• Be supported to grow and take leadership from day one
• Get insights and learnings about the financial business and technology
• Benefit from remote work opportunities, flexible working hours and a Company Holiday on 24th and 31st December
• Benefit from an office in the centre of Warsaw with great perks (e.g. good coffee, fresh fruit, Multisport membership)
• Have the option to take German language courses
• Have the option to bring your best buddy to work. We love dogs!
• Be paid a competitive salary