Rbc
Banking
BusinessDataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Business Data Engineer at Rbc. Skills: Data Strategy, Data Wrangling, Data Pipelines. Develop code for data wrangling. Write and maintain documentation”
What You'll Achieve.
advancing; modernizing; enhancing data process automation capabilities; best practices; make a meaningful impact; drive
Industry & Context.
Demonstrated ability for problem solving; out-of-the-box thinking
What They're Looking For.
Must Have
Demonstrated ability for problem solving, out-of-the-box thinking, collaborative attitude, Comfort in researching, assessing and adopting new technologies, Experience in building and maintaining data pipelines, data models, analytics-related, High proficiency in Python, SQL, know how to use VCS, familiar with best practices for software development, broad knowledge of all things IT-, CS-related, data-related
Nice to Have
Experience in the banking industry, workforce management, business reporting, Experience with cloud-based data platforms, MS Fabric, Databrick, A degree in a CS-related field
What You'll Do.
Develop code for data wrangling
Write and maintain documentation
Collaborate with end-users
Partner with IT stakeholders
Support end-users in adopting best practice
How You'll Work.
Team & Collaboration
collaborate thoughtfully; prioritizing solutions that empower others; actively seeking opportunities to support your team; share knowledge openly; ensuring your expertise benefits colleagues; fosters a culture of learning; leading through example; work with product team
Full Job Description
**_Job Description_** **What is the opportunity?** As a Business Data Engineer, you will apply your technical skills directly within a business unit, enabling you to witness the tangible impact of your work. You will support and help define the Data Strategy by researching and developing analytics solutions tailored to Business Analysts, Data Scientists and other data practitioners in Regional Banking. In this role, you will play a critical part in advancing, modernizing and enhancing data process automation capabilities and best practices. This is an _Individual Contributor_ role with significant exposure to real-world business problems and numerous opportunities to make a meaningful impact. In this role, you will collaborate thoughtfully, prioritizing solutions that empower others and actively seeking opportunities to support your team. You will share knowledge openly, ensuring your expertise benefits colleagues and fosters a culture of learning. By leading through example, you will inspire excellence and drive. Do you consider yourself to be technically sound? Have you ever written shell scripts over _ssh_ , debugged software in a language you don't know, or written a scraper by emulating HTTP requests? Do you know how to exit _vi_? If the answer to these is yes, consider applying! **What will you do?** * Develop code for data wrangling (ETLs, infrastructure deployment, automation -- mostly SQL and Python). * Write and maintain documentation and knowledge base to promote our data strategy, assets, platform and tools. * Collaborate with end-users (Business Analysts, Data Scientists, …) to reframe ways of working with data; identify and implement leverage for productivity (data assets, automation, infrastructure, tooling, ...). * Partner with IT stakeholders to leverage their expertise, best practices and resources. * Support end-users in adopting best practice and new technology, including training. **What do you need to succeed:** **Must-have:** * Demonstrated ab
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