Must have

• SQL

• NoSQL

• Big Data

• Spark

• Python

• Java

• Scala

• Cloud platform

• Azure

• Google Cloud

• AWS

• Data analytics

• ETL

• Airflow

• NiFi

• Data modelling

• Security

• Machine learning

• English

Requirements description

• 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.

Offer description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Your career opportunity

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 industry's data requirements.

What we offer

• 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

• Financial support with trainings and education

• Nursery discounts

• Social fund

• Flexible working hours

• Free parking

Your responsibilities

1. 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.
2. Data Pipelines Integration and Management.
3. Design and implement scalable data architectures to support the bank's data needs.
4. Develop and maintain ETL (Extract, Transform, Load) processes.
5. Oversee the integration of diverse data sources into a cohesive data platform.
6. 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.

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