Expected, SQL, Python

Operating system, Windows

About the project, 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 contribute to optimizing and managing our data ecosystem, collaborating with experts to design and deliver innovative solutions that empower the bank’s sales steering and customer relationship management.

Your responsibilities, Design, develop, and maintain highly efficient and scalable ETL processes and data pipelines to integrate data from diverse sources., Implement robust data models, ensuring data quality, consistency, and accessibility for sales analytics., Monitor, troubleshoot, and optimize existing data pipelines and systems to ensure performance, reliability, and cost-efficiency., Architect and implement scalable and resilient data infrastructure on our GCP infrastructure, utilizing cloud-native data services. Optimize current solutions., Apply software engineering best practices, including version control (Git), CI/CD pipelines, and infrastructure as code (Terraform)., Leverage your understanding of agentic AI concepts to explore and implement solutions that can automate, optimize, and self-correct data pipelines., Apply Generative AI (GenAI) techniques and tools to accelerate data engineering workflows, including automated code generation for ETL scripts, data schema creation, intelligent data quality rule definition, and synthetic data generation for testing., Help evaluate and integrate AI-assisted development tools to enhance productivity in data engineering tasks like pipeline creation, code generation, and troubleshooting., Work closely with data scientists and business analysts to understand data requirements and deliver impactful data solutions.

Very good knowledge of SQL: Expertise in querying, designing, and managing relational databases such as MySQL, PostgreSQL, or SQL Server., Very good knowledge of Cloud Solutions (GCP is an asset) understanding database security and scaling in cloud environments., Very good knowledge of Python, Knowledge of Agentic AI, English level B2 or higher

Optional, Google Cloud Platform knowledge, Knowledge of Big Data technologies: Understanding of tools like Apache Spark, Hadoop, and Data Lakes for storing and processing large datasets.

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, sharing the commuting costs, 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,

Senior Data Engineer (m/f/d)

Zacznij od adresu e-mail