📢 Join our team as a Senior Cloud Engineer! 📢
Are you experienced in database engineering and leveraging cloud-based technologies? Join our dynamic and innovative team in the Sales Analytics Cluster, where we turn data into actionable insights using the latest advanced analytics and AI solutions. In this role, you will be responsible for designing resilient cloud architectures, improving platform performance and cost efficiency, and enabling scalable data-processing solutions that support advanced analytics and AI-driven use cases.
Working closely with engineers, architects, and business stakeholders, you will drive continuous improvement of our cloud ecosystem and ensure operational excellence across applications, infrastructure, and data platforms.
What you will be doing? 👇
- Design and optimize scalable cloud-native solutions on GCP.
- Improve performance, reliability, security, and cost efficiency of cloud platforms.
- Design and support data platforms, ETL/ELT pipelines, and analytical workloads.
- Implement Infrastructure as Code using Terraform.
- Build and maintain CI/CD pipelines and automation solutions.
- Troubleshoot complex technical issues and drive root-cause analysis.
- Define cloud architecture standards and engineering best practices.
- Mentor team members and provide technical leadership.Collaborate with data engineers, developers, and architects to deliver robust solutions.
Which technologies & skills are important for us? 👌
- Strong experience with Google Cloud Platform (GCP), BigQuery
- Strong Python development skills.
- Excellent SQL knowledge.
- Experience with cloud architecture and distributed systems.
- Experience with cloud optimization, scalability, and performance tuning.
- Hands-on experience with data engineering, ETL/ELT pipelines, and data processing frameworks.
- Experience with Apache Airflow / Cloud Composer.
- Infrastructure as Code (Terraform).
- CI/CD and DevOps practices.
- Strong analytical thinking and problem-solving skills.
- Excellent communication and stakeholder management skills.
Nice to have:
- Dataproc, Dataflow, dbt.
- Cloud security and observability.
- Microservices and API architecture.
- GenAI / Agentic AI experience.
Do not worry, if you do not have experience in some of the points - we will provide trainings for you! 😉
How?
📌 Hybrid on Wersalska 6 street Łódź
What we offer? 🥳
Of course, we offer Development Plans for employees, Life insurance, flexible working hours, integration events and much more 😎
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Below you can find more information about Commerzbank and cluster 👇
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.
Description of the cluster:
The Sales Analytics cluster as a part of the BDAA key area services the segments corporate customers as well as private and business customers. We combine and consolidate the bank's data to identify customer needs and transform them to sales opportunities using customized analytical models.
🚩 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 (Journal of Laws of 2018, item 1000). 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.