Project/Client: Banking
Location: Baltic States and Poland
Start Date: ASAP
Duration: 12 months
Seniority: Senior
Language: English
Role Overview:
We are looking for an experienced Data Engineer to join a major banking project. The role involves building and maintaining complex data pipelines optimizing SQLprocedures and ensuring data quality across large-scale systems.
Key Responsibilities:
- Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
- Design build and maintain SQL procedures and datasets reflecting business logic
- Develop and automate data pipelines using Apache Airflow
- Write clean standardized Python and SQL code following best practices
- Identify and resolve data quality or performance issues
Must-Have Requirements:
- 4 years of hands-on experience in Data Engineering
- Strong knowledge of SQL (4 years) Python and Git
- Proven experience with Apache Airflow for pipeline automation
- Understanding of SDLC principles and version control
- Excellent communication and collaboration skills in English
Nice to Have:
- Experience with Sybase or other enterprise databases
- Background in banking or financial data environments
English: upper-intermediate
Ready to Join
We look forward to receiving your application and welcoming you to our team!
Project/Client: BankingLocation: Baltic States and PolandStart Date: ASAPDuration: 12 months Seniority: SeniorLanguage: EnglishRole Overview:We are looking for an experienced Data Engineer to join a major banking project. The role involves building and maintaining complex data pipelines optimizing S...
Project/Client: Banking
Location: Baltic States and Poland
Start Date: ASAP
Duration: 12 months
Seniority: Senior
Language: English
Role Overview:
We are looking for an experienced Data Engineer to join a major banking project. The role involves building and maintaining complex data pipelines optimizing SQLprocedures and ensuring data quality across large-scale systems.
Key Responsibilities:
- Collaborate with Business Analysts and Product Owners to clarify requirements and align priorities
- Design build and maintain SQL procedures and datasets reflecting business logic
- Develop and automate data pipelines using Apache Airflow
- Write clean standardized Python and SQL code following best practices
- Identify and resolve data quality or performance issues
Must-Have Requirements:
- 4 years of hands-on experience in Data Engineering
- Strong knowledge of SQL (4 years) Python and Git
- Proven experience with Apache Airflow for pipeline automation
- Understanding of SDLC principles and version control
- Excellent communication and collaboration skills in English
Nice to Have:
- Experience with Sybase or other enterprise databases
- Background in banking or financial data environments
English: upper-intermediate
Ready to Join
We look forward to receiving your application and welcoming you to our team!
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