What you will do

1. Ensure the resilience of the CMS and CIS IT services -> address yellow DG-IS risks and red BANCO risks related to unsupported SAP systems and increased security vulnerabilities, ensuring stable operations and business continuity
2. Setup a new business service to:

• enable advanced analytics (ECB and Eurosystem) on a centralised repository
• replace the current legacy solutions BOSS and BODS (SAP) with a more efficient one
• ensure scalability for future data growth and operational longevity for cash survey data
• enhance transparency for citizens

We are seeking a highly skilled Python Data Engineer to join our team. The ideal candidate will have a strong background in data services and manipulation, with proven experience in transforming and automating data processes. Experience with dbt and AWS Services is a significant advantage.

Key Responsibilities:

• Develop and maintain data pipelines and workflows to support project requirements.
• Automate data parsing processes to enhance efficiency and scalability.
• Develop dbt models to mirror transformation done by SAP Business Object Data Services and create new ones
• Ensure data integrity and quality throughout the data lifecycle.
• supervising the Data Engineer team; at times three additional Data Engineers are assigned to it

Requirements

MUST

Required Qualifications:

• Proven professional work experience in data engineering and data services.
• Expertise in Python for data manipulation and automation tasks.
• Expertise in dbt ELT framework
• Experience with AWS Services (Glue, Fargate, Step Functions, Lambda, Athena)
• Familiarity with data pipeline tools and technologies.

NICE TO HAVE

• Proven track record of automating data parsing solutions.
• Ability to work independently and as part of a team in a dynamic, fast-paced environment.
• Strong problem-solving skills and attention to detail