Lead Python Data Engineer

Description

We're looking for a hands-on Lead Python Data Engineer to join the Poland-based Regulatory Reporting team within the Investment Bank's Digital Operations Stream, helping transform the client's business by simplifying and enhancing the products and platforms used by Regulatory and Data Clients. Please be aware that this role requires 3 days per week on-site at the client's office. Responsibilities Design, build and maintain data-driven applications, both new and existing Deliver end-to-end solutions Build reliable data pipelines for sourcing, processing, distributing and storing data Create data models capable of supporting growing data volumes Participate in all phases of the software development lifecycle Offer technical expertise, recommendations and innovative solutions Work closely with the product owner and fellow technologists Contribute to the engineering culture by sharing knowledge and best practices with colleagues Requirements Bachelor's degree in Computer Science or a related IT field, with 7+ years in a comparable position Experience with Big Data, Data warehouses and Data lakes Demonstrated hands-on experience developing scalable data pipelines that process large volumes of data in both batch and stream modes for near real-time analytics Strong skills in Databricks, Python and Spark Working knowledge of Delta Lake, DLT and GitLab Understanding of Cloud technologies including Azure, Unix/Linux and shell scripting Skilled in designing applications that meet NFRs for high throughput and low latency data processing Experience creating automated functional tests and CI/CD pipelines using standard industry tools Ability to rapidly build prototypes and refine them into robust products using sound engineering practices Practical experience applying AI within the engineering SDLC English language skills at B2 level or above Nice to have Skills in database development, including SQL, PL/SQL, PostgreSQL and Azure SQL

Requirements

• Bachelor's degree in Computer Science or a related IT field, with 7+ years in a comparable position

• Experience with Big Data, Data warehouses and Data lakes

• Demonstrated hands-on experience developing scalable data pipelines that process large volumes of data in both batch and stream modes for near real-time analytics

• Strong skills in Databricks, Python and Spark

• Working knowledge of Delta Lake, DLT and GitLab

• Understanding of Cloud technologies including Azure, Unix/Linux and shell scripting

• Skilled in designing applications that meet NFRs for high throughput and low latency data processing

• Experience creating automated functional tests and CI/CD pipelines using standard industry tools

• Ability to rapidly build prototypes and refine them into robust products using sound engineering practices

• Practical experience applying AI within the engineering SDLC

• English language skills at B2 level or above

Responsibilities

• Design, build and maintain data-driven applications, both new and existing

• Deliver end-to-end solutions

• Build reliable data pipelines for sourcing, processing, distributing and storing data

• Create data models capable of supporting growing data volumes

• Participate in all phases of the software development lifecycle

• Offer technical expertise, recommendations and innovative solutions

• Work closely with the product owner and fellow technologists

• Contribute to the engineering culture by sharing knowledge and best practices with colleagues

Seniority

• Lead

Nice to have

• Skills in database development, including SQL, PL/SQL, PostgreSQL and Azure SQL