Data Engineer II (R -18936)

Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

The Data Engineer II works as part of an agile team, setting global standards and best practices while collaborating with key stakeholders to implement, monitor, and control data quality rules on our data. This role drives best-in-class standards and continuous improvement initiatives across a wide range of teams and disciplines

Key Responsibilities::
• Database administration, including performance tuning, and implementing best practices

• Develop and mentor coding standards

• Implement new data maintenance processes

• Evaluate and implement recent technology solutions

• End-to-end process ownership

• Communicate with stakeholders

• Conduct knowledge exchange sessions with technical and non-technical audiences

• Automate manual processes and develop data tools

• Build new analytical processes, provide insight into data quality issues and implementation of data improvement solutions

• Build processes to fetch data from open data sources, e.g. websites

• Research and implement modern data mastering techniques to increase derived insight into disparate data sources

• Support other data engineers with design of ETL processes, code reviews, and knowledge sharing

• Develop and maintain data documentation, including data dictionaries, data flow diagrams, and data lineage

Key Skills::
• Bachelor’s degree in computer science or a technology-related field

• 5-8 years of relevant experience

• Strong knowledge of data transformation processes, exposure to standard and complex datatypes

• Knowledge of latest solutions in the market is a plus

• Knowledge of Data Operations methodology and data management approaches is preferred

• AWS/GCP certification (including cloud environment administration) required

• SQL Server administration (tuning, database design and optimization)

• Strong knowledge of Python and SQL required

• Experience with a variety of coding tools and languages (SSIS, C#, Python, Git/Bitbucket, APIs, NoSQL)

• Experience with CoPilot Agent Studio a plus

• Knowledge of Jira, AI, Graph database is preferred

• Knowledge of Machine Learning and reporting tools (Power BI)

• Understanding of security and version controls

• Experience in managing stakeholders and project plans

• Proficiency in Microsoft Office Suite

• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success

• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors

• Where applicable, fluency in English and languages relevant to the working market

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.