Offer summary

Qualifications:

Strong experience with RDBMS (MS SQL, Oracle PL/SQL) and Data Warehousing concepts., Proficiency in Python programming., Familiarity with BI and data exploration tools (Business Objects, Tableau, PowerBI)., Fluent English for Pan-Baltic collaboration..

Key responsabilities:

Develop and maintain scalable data pipeline architecture.

Automate processes, optimize data delivery, and improve scalability.

Work closely with data scientists to deploy machine learning models.

Support teams with data-related technical issues and infrastructure needs.

Job description

Project/Client: banking
Location: Baltic States + PL
Start Date: ASAP
Duration: 8 months

Role Overview:

We are looking for a Data Engineer to support a banking project. The role involves designing and maintaining data pipelines, optimizing data delivery, and collaborating with teams to enhance data quality and reliability

Must-Have Requirements:

Strong experience with RDBMS (MS SQL, Oracle PL/SQL) and Data Warehousing concepts
Proficiency in Python programming
Familiarity with BI and data exploration tools (Business Objects, Tableau, PowerBI)
Fluent English for Pan-Baltic collaboration
Experience with Apache Airflow is an advantage
Experience in banking industry