Junior Data Engineer @ DataFuze

Requirements: Strong academic background - higher education (Bachelor's degree minimum, Master's degree preferred) in Computer Science or related field Minimum 12 months of commercial experience in a similar role Knowledge of DB theory Experience in creating efficient and optimized queries in SQL Ability to design and implement ETL processes Basic knowledge of Python Experience with Git Analytical thinking and problem-solving skills Proactive approach, eagerness to learn, explore and grow Strong sense of ownership and responsibility Effective communication and team collaboration skills Dedication to excellence in technical skills Proficiency in Polish (C1 level) and English (B2 level) Nice to Have: Familiarity with any of: Snowflake, Ariflow, dbt, Kafka, Oracle, APEX Relevant trainings or certifications in any of the above tools/technologies Contribution to free-time projects, blogs and other community involvement Who are we looking for ? We are currently seeking a candidate for the position of Junior Data Engineer. The ideal candidate should possess good SQL skills and demonstrate knowledge of DB theory. Familiarity with any of: Snowflake, Ariflow, dbt, Kafka, Oracle, APEX will be considered as a significant advantage. Who is DataFuze ? We are a boutique software development company. At DataFuze, we create and deliver data-driven IT solutions that empower our clients' data and provide lasting value for their businesses.  At the forefront of our CULTURE are these core values :  Technical Mastery : dedication to excellence in technical skills, ensuring a deep understanding of the latest industry trends and best practices, commitment to delivering scalable and efficient software solutions. Ownership and Accountability : encouraging a strong sense of responsibility among all team members to maintain the highest standards at every stage of the software development lifecycle. Client-Centric Agility : prioritizing the needs and satisfaction of clients by staying agile, responsive, and adaptable to evolving project requirements. Innovation Excellence : embracing a culture of constant learning, technological exploration and creative problem-solving to deliver cutting-edge solutions. Collaborative Synergy : fostering a collaborative and inclusive environment, where diverse talents work seamlessly together, sharing knowledge and expertise to achieve success. Recruitment process We believe in a simple and transparent recruitment process. No fluff ;) We will reply to your application within 5 days. We will try to close the entire recruitment process within 3 weeks. That's our promise. What we offer ? Honest Compensation - A career path supported by a competitive and transparent salary structure. Flexible Benefits Package - Tailor our benefits package to your individual needs. Dynamic Professional Growth - Opportunities for continuous professional development within a challenging and dynamic IT environment. Expert Team Collaboration - Everyday teamwork with seasoned experts specializing in database solutions. Flexible Work Options - Enjoy the flexibility of hybrid or remote work based on seniority and project requirements. Work-Life Balance - Embrace flexibility in working hours. ,[Design and implement ETL processes using any of: Snowflake, Kafka or Airflow to support scalable data workflows, Build reliable and governed data pipelines with dbt in order to accelerate analytics and AI initiatives, Design, develop and maintain databases, Create efficient and optimized queries in SQL, Create and utilize functions, packages and procedures in PL/SQL, Assist in resolving technical bottlenecks to improve overall system efficiency, functionality and performance, Low-code application development using Oracle Application Express (APEX)] Requirements: SQL, ETL, Python, Git, Snowflake, Airflow, dbt, Oracle, Apex, Kafka Tools: . Additionally: Sport subscription, Training budget, Flat structure, Masterclazz training, English lessons with Native Speaker, Small teams, Free coffee, Bike parking, Shower, Startup atmosphere, No dress code, Modern office.