Senior Data Engineer @

2 days ago

Łódź, Łódź Voivodeship, Czech Republic CommerzBank Full time

Which technology & skills are important for us? 

  • Very good knowledge of data pipeline orchestration (design 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/PySpark, Cloud Composer/Apache Airflow)
  • Very good knowledge of Python and SQL.
  • Good knowledge of API (understanding of how frontend apps interact with backend APIs in a full-stack environment)
  • Good knowledge of GIT and CI/CD solutions
  • English level B2

Nice to have:

  • IaC (Terraform)
  • German would be a plus

Do not worry, if you do not have experience in some of the points - we will provide trainings for you 

 Join our team as a Senior Data Engineer 

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 have an impact on product architecture, driving product development, future enhancements, and optimization.

How?
Hybrid on Wersalska 6 street Łódź

Of course, we offer Development Plans for employees, Life insurance, flexible working hours, integration events and much more

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.

,[Cloud Migration: Lead and execute the migration of ETL processes and workflows to Google Cloud Platform, ensuring high performance and minimal disruption., Code Optimization: Writing efficient cloud-native code, optimizing it for scalability, performance, and maintainability., Product Enhancement: Contribute to the wider lifecycle of product development, identifying opportunities for functional improvements, enhancements, and innovations., 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., 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.] Requirements: Data pipelines, Use case, GCP, Cloud, BigQuery, PySpark, Dataproc, Cloud Composer, Apache Airflow, Python, SQL, API, Git, CI/CD, IaC Additionally: Sport subscription, Training budget, Private healthcare, Lunch card, International projects, E-learning platform (mindtools), Free coffee, Bike parking, Shower, Modern office, No dress code.

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