Senior Data Engineer (Cloud Migration & Product Optimization)

Commerzbank AG; Łódź; On-site; PLN 120,000 - 180,000; Full time

Job summary

A leading international commercial bank located in Łódź is seeking an experienced Senior Data Engineer to lead the migration of ETL workflows to Google Cloud. This role involves designing a robust data architecture, optimizing code for scalability, and collaborating with cross-functional teams. Candidates should have strong knowledge of data pipeline orchestration, Python, and GCP. A friendly and multicultural environment with remote work options is offered.

Benefits

Friendly and multicultural environment

26 days of holiday from the very beginning

Private medical care

Sharing the costs of professional training & courses

Life insurance

Remote work opportunities

Flexible working time

Corporate sports team

Preferential loans

Video games at work

Coffee / tea

Pre-paid cards

Employee referral program

Multisport

Employee Assistance Program (psychological support)

E-learning platform: O'Reilly, library, tutorials

Qualifications

• Very good knowledge of data pipeline orchestration for data transformation and aggregation.
• Very good knowledge of GCP and creating cloud-based architecture.
• Very good knowledge of Python and SQL; experience with procedural SQL ideal.
• Very good knowledge of API and full-stack environment interactions.
• Good knowledge of Bitbucket and CI/CD solutions.
• Good knowledge of IaC (Terraform).
• Familiarity with AI tools for code migration and optimization.

Responsibilities

• Lead migration of ETL processes to Google Cloud, ensuring high performance.
• Collaborate with AI tools to translate SAS code into cloud-native code.
• Design and implement a robust and scalable data platform.
• Contribute to product development's lifecycle, identifying functional improvements.
• Design and build secure APIs for seamless data flow and integration.
• Stay updated with trends in data engineering and cloud computing.

Skills

Data pipeline orchestration

GCP

Python

SQL

API knowledge

CI/CD solutions

IaC (Terraform)

AI tools for code migration

Job description

Technologies we use

• Google Cloud Platform
• Python
• SQL

Operating system

• Windows

About the project

Are you experienced in data engineering and cloud-based solutions? Join our dynamic and forward-thinking team as a Senior Data Engineer. In this role, you will play a pivotal part in the transformation of our data platform, leading the migration of our ETL workflows from a SAS platform to the Google Cloud (GCP). In addition to ensuring a smooth migration process, you will take on software architecture responsibilities, driving product development, future enhancements, and optimization across both the backend and frontend.

Your responsibilities

• Cloud Migration: Lead and execute the migration of ETL processes and workflows from the SAS platform to Google Cloud Platform, ensuring high performance and minimal disruption.
• Code Optimization: Collaborate with AI tools to translate SAS code into efficient cloud-native code, optimizing it for scalability, performance, and maintainability.
• Architectural Leadership: Design and implement a modern, robust, and scalable data platform, serving as a technical architect for key projects and long-term initiatives.
• Product Enhancement: Contribute to the wider lifecycle of product development, identifying opportunities for functional improvements, enhancements, and innovations on both back-end and front-end systems.
• API Development: Design and build interfaces between data storage and the data transformation engine in the form of scalable and secure APIs that enable seamless data flow and integration.
• Technology Trends: Stay updated with the latest developments in data engineering, cloud computing, and frontend technologies, driving adoption of best practices.
• Team Collaboration: Work closely with cross-functional teams, including data scientists, product managers, and software developers, to deliver high-quality solutions that support our business goals.

Our requirements

• Very good knowledge of data pipeline orchestration (design and architecting scalable, cloud-native data pipelines for data transformation and aggregation based on business use cases).
• Very good knowledge of GCP (or other Cloud) and creating Cloud based architecture (BigQuery, Dataproc, Composer)
• Very good knowledge of Python and SQL. Ideally also with experience in the usage of Procedural SQL.
• Very good knowledge of API (understanding of how frontend apps interact with backend APIs in a full-stack environment)
• Good knowledge of Bitbucket and CI/CD solutions
• Good knowledge of IaC (Terraform)
• Familiarity with AI tools for code migration and optimization (e.g., AI-driven transformation tools or IDE plugins leveraging machine learning).
• English level B2

Optional

• German would be a plus

What we offer

• Friendly and multicultural environment
• 26 days of holiday from the very beginning
• Private medical care
• Sharing the costs of professional training & courses
• Life insurance
• Remote work opportunities
• Flexible working time
• Corporate sports team
• Preferential loans
• Video games at work
• Coffee / tea
• Pre-paid cards
• Employee referral program
• Multisport
• Employee Assistance Program (psychological support)
• E-learning platform: O'Reilly, library, tutorials

Commerzbank is a leading international commercial bank with branches and offices in almost 50 countries. The world is changing, becoming digital, and so we are. We are leaving the traditional bank behind us and are choosing to move forward as a digital enterprise. This is exactly why we need talented people who will join us on this journey. We work in inter-locational and international teamwork in agile methodologies.

Please add the following clause to your application:

1. I consent to the processing of personal data contained in this document by Commerzbank AG with its registered office in Frankfurt am Main, Germany, 60261 Kaiserplatz, operating through the Branch in Poland with its registered office in Łódź, 91-203 Łódź, ul. Wersalska 6, KRS 0000631053, for the implementation of the current recruitment process and for the future recruitment for a period of 6 months, in accordance with the Regulation of the European Parliament and of the Council (EU) 2016/679 of 27 April 2016 on the protection of individuals with regard to the processing of personal data the free flow of such data and the repeal of Directive 95/46 / EC (RODO) and in accordance with the Act of 10 May 2018 on the protection of personal data. I provided my personal data voluntarily and I declare that they are truthful. I have the right to withdraw this consent at any time. The withdrawal of consent shall not affect the lawfulness of processing based on consent before its withdrawal.

2. I have read the content of the information clause, including information about the purpose and methods of processing personal data and the right to access to my personal data and about the right to correct, rectify and delete it.

INFORMATION CLAUSE FOR A CANDIDATE

Pursuant to Article 13(1-2) of the General Data Protection Regulation of 27 April 2016, I inform that Your personal data are controlled by Commerzbank AG with its registered office in Frankfurt am Main, Germany, 60261 Kaiserplatz, acting through a Branch in Poland with its registered office in Łódź, 91-203 Łódź, ul. Wersalska 6, KRS 0000631053; Your personal data will be processed for the purpose of carrying out the recruitment process pursuant to Article 6(1)(c) of GDPR and pursuant to Article 6(1)(a) of GDPR; Your personal data may be made available to other recipients, such as entities processing personal data on behalf of the Data Controller and other entities involved in the process of Data Controller’s business activity, such as banks and courier companies, postal operators, Social Insurance Institution, tax offices and other entities entitled under the rules of the law; The personal data provided by you will be - based on your consent - transferred to a third country: the United States of America, for which the European Commission has not issued a decision confirming the appropriate level of protection; Your data will be protected by standard data protection clauses or other safeguards; The recipient of your personal data in the abovementioned third country is Breezy HR, Inc.; The personal data will be stored during the recruitment process and to the extent to which personal data are processed pursuant to the consent granted, until a withdrawal of such consent; You have the right to access, rectify, erase, restrict, port and object to processing, and to withdraw consent at any time; You may file a complaint to a supervisory authority if you believe processing violates GDPR; The provision of personal data may be a statutory requirement or voluntary depending on the basis; Your personal data will not be processed by automated means including profiling.