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About Leoforce:
Leoforce is the innovative company behind the AI-powered Recruiting Agent that revolutionizes talent discovery and engagement. The Recruiting Agent combines advanced AI and Talent Intelligence to help recruiters find highly compatible candidates, reducing time-to-hire and ensuring success for every role.

At Leoforce, we are passionate about empowering recruiters and job seekers with responsible AI that delivers unbiased, data-driven results. We believe in fostering a workplace built on respect, integrity, and the freedom to innovate.

Why Join Us?

Career Growth: Opportunities for professional and personal advancement in a rapidly evolving industry.
Cutting-Edge Technology: Be part of a team working on revolutionary AI solutions that redefine talent acquisition.
Collaborative Environment: A culture that values diversity, creativity, and high performance.
Employee Empowerment: Freedom to innovate and make a difference while being supported by a team that values respect and integrity.

Key Responsibilities:

Design, build, and maintain scalable data pipelines and ETL processes.
Collaborate with data scientists, analysts, and other stakeholders to understand data requirements.
Develop and optimize data models for analytics and operational use.
Ensure data quality, integrity, and security across all data platforms.
Troubleshoot and resolve data-related issues in a timely manner.
Document data workflows, architecture, and best practices.

Required Qualifications:

Bachelor’s degree in Computer Science, Engineering, or a related field.
Minimum 4 years of experience as a Data Engineer or in a similar role.
Proficiency in SQL and at least one programming language (e.g., Python, Java, Scala).
Experience with data warehousing solutions (e.g., Redshift, BigQuery, Snowflake).
Hands-on experience with ETL tools and data pipeline orchestration (e.g., Airflow, Luigi).
Familiarity with cloud platforms (AWS, GCP, or Azure).
Strong problem-solving skills and attention to detail.
Excellent communication and teamwork abilities.

Preferred Qualifications:

Experience with real-time data processing frameworks (e.g., Spark, Kafka).
Knowledge of data governance and compliance best practices.

Benefits:

Competitive compensation and benefits package.
Opportunities for career advancement and skill development.
Flexible work environment.
Access to cutting-edge technology and tools.
Inclusive and innovative company culture.