Senior Data Engineer m/f/d, ŁÓDŹ

Which technologies & skills are important for us? 👌

• 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

Nice to have:

• 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.

📢 Join our team as a Senior Data 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 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.

What you will be doing? 👇

• Cloud-Based Database Solutions: Design, develop, and maintain scalable and efficient databases and data pipelines using SQL, Data Vault methodologies (tailored for CoBa needs), and Google Cloud Platform (GCP).


• Data Transformation: Create and manage data transformations in DBT, ensuring accuracy, reliability, and compliance across the data lifecycle.


• Prototyping & Evaluation: Rapidly prototype new ideas and evaluate emerging tools and technologies to continuously refine our data platforms.


• Collaboration: Work closely with business experts, data scientists, and engineers to translate requirements into valuable solutions.


• Integration of AI Models: Support data scientists by integrating their models and insights into our system landscape to deliver actionable intelligence.


• Scalable Architecture: Contribute to the design and maintenance of robust, cloud-native architectures optimized for performance, security, and scalability.

Nice to have:

• Google Cloud Platform knowledge


• Infrastructure as Code (IaC) tools like Terraform: For creating and managing cloud resources.


• Knowledge of Big Data technologies: Understanding of tools like Apache Spark, Hadoop, and Data Lakes for storing and processing large datasets.


• Knowledge of IntelliJ or Aqua Data Studio: Familiarity with these IDEs for code editing and database management.

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 😎

* * *

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.

,[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.] Requirements: Relational database, MySQL, PostgreSQL, SQL Server, Cloud, GCP, Security, Python, Apache Spark, Hadoop, Data Lake 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.