Expected, SQL

Optional, Python

This is how we work, in house

Your responsibilities, Develop and optimize BigQuery datasets, views and queries (partitioning, clustering, materialized views) to meet performance and cost targets., Build and maintain ELT/ETL pipelines into BigQuery (e.g., via Cloud Storage, Pub/Sub, Dataflow, Dataproc, or vendor sources), including monitoring and error handling., Model data for analytics (dimensional and/or data vault concepts) and define data quality checks, lineage and documentation for curated datasets., Collaborate with business and IT stakeholders to translate requirements into technical specifications, implement changes, and support testing and release activities., Ensure operational stability and security (IAM, service accounts, dataset access, auditability), troubleshoot incidents, and continuously improve reliability and automation.

Advanced SQL skills with hands-on experience in BigQuery, Good knowledge of GCP Data Engineering

Optional, Basic Python knowledge, Basic knowledge of Git / CI/CD

Benefits, private medical care, sharing the costs of professional training & courses, life insurance, remote work opportunities, flexible working time, integration events, corporate sports team, retirement pension plan, preferential loans, no dress code, video games at work, coffee / tea, leisure zone, pre-paid cards, redeployment package, employee referral program, extra leave, Multisport, Skills@Work - personal & professional development program, Employee Assistance Program (psychological support), E-learning platform: O'Reilly, library, tutorials

Recruitment stages, CV review, Recruiter interview, Hiring manager interview, Offer extended

Commerzbank AG, 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.

This is how we work,

Data Engineer (BigQuery / GCP) (m/f/d)

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