Senior Python Data Engineer

The Adecco Group is the world’s leading talent advisory and solutions company. We believe in making the future work for everyone, and every day enable more than 3.5 million careers around the world. We skill, develop and hire talent in 60 countries, enabling organizations to embrace the future of work. As a Fortune Global 500 company, we lead by example, creating shared value that fuels economies and builds better societies.

For our trusted client, we are looking for Senior Python Data Engineer.

We are looking for an experienced Senior Python Data Engineer to develop and optimize enterprise data platforms in an AWS cloud environment. The ideal candidate has strong Python and PySpark skills, hands-on experience with Apache Airflow, and solid knowledge of SQL and relational databases.

Responsibilities:

• Design, build, and maintain scalable ETL/ELT data pipelines for batch and real-time processing.
• Develop and optimize data processing solutions using Python and PySpark.
• Build and manage automated workflows using Apache Airflow.
• Work with AWS data services, including S3, Glue, EMR, Redshift, Athena, and Lambda.
• Design and optimize relational databases, SQL queries, and data models.
• Ensure data quality, integrity, and security.
• Collaborate with Data Scientists, Business Analysts, and DevOps teams to deliver data solutions.

Requirements:

• 4+ years of experience in Data Engineering or a related role.
• Strong Python and hands-on PySpark experience.
• Practical experience with AWS data services (S3, EMR, Glue, Lambda).
• Experience with Apache Airflow and workflow orchestration.
• Advanced SQL skills and knowledge of relational databases.
• Understanding of CI/CD, Git, and containerization (Docker/Kubernetes).
• Experience with Terraform is an advantage.
• Good analytical and problem-solving skills.
• Ability to work independently and collaborate effectively.
• Good command of English, both written and spoken.

We Offer:

• Competitive remuneration and bonus scheme.
• Opportunities for professional development and training.
• Hybrid working model and flexible working hours.
• 25 days of annual paid leave plus one additional day for your birthday.
• Additional health and life insurance.
• Food vouchers.
• Sports card.
• Employee referral program.
• Preferential conditions for selected products and services.
• Additional benefits for important life events.
• Participation in an employee solidarity fund.

If this position sounds like interesting and challenging opportunity, apply now by sending us your CV in English.

Only short-listed candidates will be contacted. All applications will be treated in strict confidentiality.

Recruitment license from National Agency of Employment №1814 from 08.12.2014