The Senior Data Engineer will be responsible for designing, building, and managing the data infrastructure and data pipeline processes for the bank. This role involves leading a team of data engineers, working closely with data scientists, analysts, and IT professionals to ensure data is accessible, reliable, and secure. The ideal candidate will have a strong background in data engineering, excellent leadership skills, and a thorough understanding of the banking industrys data requirements.
responsibilities :
Leadership and Team Management: Lead, mentor, and develop a team of data engineers, establish best practices for data engineering and ensure team adherence, coordinate with other IT teams, business units, and stakeholders.
Data Pipelines Integration and Management.
Design and implement scalable data architectures to support the banks data needs.
Develop and maintain ETL (Extract, Transform, Load) processes.
Oversee the integration of diverse data sources into a cohesive data platform.
Ensure data quality, data governance, and compliance with regulatory requirements, ensure the data infrastructure is reliable, scalable, and secure, develop and enforce data security policies and procedures.
Monitor and optimize data pipeline performance.
Troubleshoot and resolve data-related issues promptly.
Implement monitoring and alerting systems for data processes.
requirements-expected :
Strong experience with database technologies (SQL, NoSQL), data warehousing solutions, and big data technologies (Hadoop, Spark).
Proficiency in programming languages such as Python, Java, or Scala.
Experience with cloud platforms (AWS, Azure, Google Cloud) and their data services. Certifications in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.) as a plus.
Deep understanding of ETL processes and data pipeline orchestration tools (Airflow, Apache NiFi).
Knowledge of data modelling, data warehousing concepts, and data integration techniques.
Strong problem-solving skills and ability to work under pressure and excellent communication and interpersonal skills.
Experience in the banking or financial services industry and familiarity with regulatory requirements related to data security and privacy in the banking sector.
Experience with machine learning and data science frameworks.
offered :
Competitive salary.
Annual performance-based bonus.
Additional bonuses for recognition awards.
Multisport card.
Private medical care.
Life insurance.
One-time reimbursement of home office set-up (up to 800 PLN).
Corporate parties & events.
CSR initiatives.
Nursery discounts.
Financial support with trainings and education.
Social fund.
Flexible working hours.
Free parking.
benefits :
sharing the costs of sports activities
private medical care
sharing the costs of professional training & courses
