Senior Big Data Deweloper | Data Engineer [K/M]

Fabrity S.A. is a dynamic technology company specializing in software engineering, generative artificial intelligence, and industrial Internet of Things (IoT). It creates comprehensive solutions to help enterprises automate processes, improve operational efficiency, and make key decisions through effective data analysis. The company works for various industries including pharmaceuticals, healthcare, financial services, manufacturing, automotive, and retail, supporting organizations in digital transformation with platforms like ServiceNow, Microsoft Power Platform, and its proprietary low-code product Fastive. Trusted brands include ABB, Bayer, Carrefour, PKO BP, Dormakaba, Sanofi, Toyota Bank, Frontex, Liebherr, Pepsico, and Saint-Gobain.

• Minimum 6 years experience working with relational databases.
• Expert knowledge of PostgreSQL or other relational databases.
• Minimum 5 years experience designing and building ETL processes.
• Expert knowledge of Apache NiFi.
• Experience designing and implementing data flows in Apache NiFi.
• Strong understanding of ETL and data processing concepts.
• Advanced data modeling skills.
• Experience designing and implementing REST API.
• Experience optimizing databases and SQL query performance.
• Ability to work with large data volumes.
• Basic knowledge of Python used for scripting.
• Knowledge of Linux and Bash.
• Analytical thinking skills.
• Independence and responsibility.
• English language proficiency at minimum B2 level.

Nice to have:

• Knowledge of Azure API Management.
• Familiarity with Amazon S3 protocol.
• Experience in the electrical power industry.
• Knowledge of accounting, management accounting, and controlling.

• Designing, developing, and maintaining databases primarily in PostgreSQL environment.
• Designing and implementing REST API in collaboration with frontend teams.
• Designing and constructing data flows in Apache NiFi.
• Creating and developing ETL processes.
• Optimizing databases and SQL queries for large data volumes.
• Data modeling and preparing data structures for new solutions.
• Analyzing and defining requirements for APIs, databases, and infrastructure.
• Performance tuning of database environments.
• Automating selected processes using scripts.
• Collaborating with project teams to design and deploy new solutions.

Klauzula informacyjna detailing data administrator information, data processing purposes, legal bases including GDPR articles, data retention periods, recipients, data subject rights (access, rectification, erasure, etc.), complaint rights, voluntary provision of data necessary for recruitment process or contract implementation, and no intention to transfer data to third countries or international organizations.