Regular Data Engineer, Inetum

Inetum

Location:
Poland, Warsaw

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Inetum Polska is part of the global Inetum Group and plays a key role in driving the digital transformation of businesses and public institutions. Operating in cities such as Warsaw, Poznan, Katowice, Lublin, Rzeszow, Lodz the company offers a wide range of IT services. Inetum Polska actively supports employee development by fully funding training, certifications, and participation in technology conferences. Additionally, the company is involved in local social initiatives, such as charitable projects and promoting an active lifestyle. It prides itself on fostering a diverse and inclusive work environment, ensuring equal opportunities for all.

Job Responsibility:

Design, develop, and implement efficient ELT/ETL processes for large datasets
Build and optimize data processing workflows using Apache Spark
Utilize Python for data manipulation, transformation, and analysis
Develop and manage data pipelines using Apache Airflow
Write and optimize SQL queries for data extraction, transformation, and loading
Collaborate with data scientists, analysts, and other engineers to understand data requirements and deliver effective solutions
Work within an on-premise computing environment for data processing and storage
Ensure data quality, integrity, and performance throughout the data lifecycle
Participate in the implementation and maintenance of CI/CD pipelines for data processes
Utilize Git for version control and collaborative development
Troubleshoot and resolve issues related to data pipelines and infrastructure
Contribute to the documentation of data processes and systems

Requirements:

Minimum 2 years of professional experience as a programmer working with large datasets
Experience in at least 1 project involving the processing of large datasets
Experience in at least 1 project programming with Python
Experience in at least 1 project within an on-premise computing environment
Proven experience programming with Apache Spark
Proven experience programming with Python
Proven experience programming with Apache Airflow
Proven experience programming with SQL
Familiarity with Hadoop concepts
Proven experience in programming ELT/ETL processes
Understanding of CI/CD principles and practices
Proficiency in using a version control system (Git)
Strong self-organization skills and a goal-oriented approach
Excellent interpersonal and organizational skills, including planning
Strong communication, creativity, independence, professionalism, stress resistance, and inquisitiveness
Adaptability and flexibility, with an openness to continuous learning and development

What we offer:

Flexible working hours
Hybrid work model
Cafeteria system
Generous referral bonuses
Additional revenue sharing opportunities
Ongoing guidance from a dedicated Team Manager
Tailored technical mentoring
Dedicated team-building budget
Opportunities to participate in charitable initiatives and local sports programs
Supportive and inclusive work culture

Additional Information:

Job Posted:
April 25, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Regular Data Engineer