Must have

• SQL

• PL/SQL

• Oracle

• dbt

• ETL

• Airflow

• Kafka

• Snowflake

• Polish (C1)

• English (B1)

Nice to have

• Apex

• Python

Requirements description

The basics:

• Minimum 12 months of commercial experience in a similar role

• Higher education (Bachelor's degree minimum, Master's degree preffered) in Computer Science or related field

• Experience in SQL language and Oracle relational databases

• Ability to create efficient and optimized queries in SQL

• Basic knowledge of PL/SQL - creating and utilizing functions, packages and procedures

• Good knowledge of dbt - building reliable and governed data pipelines that help accelerate analytics and AI initiatives

• Ability to design and implement ETL processes using any of: Snowflake, Kafka or Airflow to support scalable data workflows

• Proficiency in Polish (C1 level) and English (B1 level)

• Experience with Oracle Application Express (APEX) will be considered a big advantage

• Experience with GIT version control system will be considered a big advantage

Bonus points :

• Dedication to excellence in technical skills
• Strong sense of ownership and responsibility
• Eagerness to learn, explore and grow
• Analytical thinking skills and problem-solving abilities
• Completed trainings and certificates
• Contribution to free-time projects, blogs and other community involvement

Offer description

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 :

1. 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.
2. 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.
3. Client-Centric Agility: prioritizing the needs and satisfaction of clients by staying agile, responsive, and adaptable to evolving project requirements.
4. Innovation Excellence: embracing a culture of constant learning, technological exploration and creative problem-solving to deliver cutting-edge solutions.
5. Collaborative Synergy: fostering a collaborative and inclusive environment, where diverse talents work seamlessly together, sharing knowledge and expertise to achieve success.

Who are we looking for ?

We are currently seeking a candidate for the position of Junior Data Engineer.

The ideal candidate should possess good skills in a wide variety of: SQL, PL/SQL, dbt, ETL, Airflow, Kafka, Snowflake.

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.

1. Online meeting with the COO - let's get to know each other.
2. Online or office meeting with the team - showcase your technical skills and experience during the interview, learn more about the project and meet your future colleagues.
3. Job offer - we'll send you a job offer and contract draft, you review and decide on engagement.

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.

Your responsibilities

1. Design and implement ETL processes using any of: Snowflake, Kafka or Airflow to support scalable data workflows
2. Build reliable and governed data pipelines with dbt in order to accelerate analytics and AI initiatives
3. Design, develop and maintain databases
4. Create efficient and optimized queries in SQL
5. Create and utilize functions, packages and procedures in PL/SQL
6. Assist in resolving technical bottlenecks to improve overall system efficiency, functionality and performance

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