Data Engineer (Mid)

EXUS is an enterprise software company, founded in 1989 with the vision to simplify risk management software. EXUS launched its Financial Suite (EFS) in 2003 to support financial entities worldwide to improve their results. Today, our EXUS Financial Suite (EFS) is trusted by risk professionals in more than 40 countries worldwide ( MENA ,  EU ,  SEA ). We introduce simplicity and intelligence in their business processes through technology, improving their collections performance.

Our people constitute the source of inspiration that drives us forward and helps us fulfill our purpose of  being role models for a better world .
This is your chance to be part of a highly motivated, diverse, and multidisciplinary team, which embraces breakthrough thinking and technology to create software that serves people.

Our shared Values:

• We are transparent and direct
• We are positive and fun, never cynical or sarcastic
• We are eager to learn and explore
• We put the greater good first
• We are frugal and we do not waste resources
• We are fanatically disciplined, we deliver on our promises

We are EXUS! Are you?

We are looking for a skilled Mid-Level Data Engineer to join us remote. This individual will play a key role in developing and maintaining scalable data models within our data lake architecture. The ideal candidate will have a strong background in software engineering and extensive experience with big data technologies and cloud platforms.

Requirements

Key Responsibilities:

• Design, implement, test, and maintain data models within our data lake architecture to support advanced analytics.
• Implement processes that ensure models are scalable, maintainable, and optimized for high performance.
• Design and manage workflows using Apache Airflow.
• Collaborate with data architects, analytic engineers, software engineers, and IT team members to achieve project goals.

Required Skills and Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3+ years of experience in a data engineering role, preferably with exposure to data lake environments.
• Well-skilled in SQL and Python for complex queries and analytics.
• Extensive experience with ETL  processes and tools.
• Solid understanding of Hadoop ecosystem, including Hive and Apache Spark for processing large datasets.
• Experience with Apache Airflow for workflow management.
• Familiarity with major cloud platforms (AWS, Azure).
• Ability to work in a team environment and collaborate on projects.
• Excellent problem-solving and troubleshooting skills.
• Strong communication and organizational skills.
• Certifications in Big Data technologies and cloud platforms are strongly preferred.

Benefits

• Competitive salary
• Friendly, pleasant, and creative working environment
• Remote Working
• Development Opportunities
• Private health insurance allowance
• Unlimited time off

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