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.
Dun & Bradstreet is seeking a Senior Data Engineer with deep expertise in Power BI, strong data‑modelling capabilities, and excellent SQL skills. This role will be responsible for designing, building, and optimizing high‑quality data solutions across our analytics ecosystem, which includes Power BI, MySQL, Google Big Query, Redshift, and ETL frameworks such as Talend.
You will play a critical role in shaping our data architecture, ensuring high-performing dashboards, and enabling data-driven decision making across the organization.
Key Responsibilities:
Design, develop, and maintain complex Power BI datasets, data models, and optimized DAX for enterprise-grade dashboardsEnsure semantic models and data flows are built with scalability, consistency, and maintainability in mindCollaborate with business stakeholders to translate requirements into efficient BI solutionsBuild and optimize data pipelines across MySQL, Big Query, Redshift, and other platformsDevelop clean, efficient, reusable code following architectural and security standards.Evaluate and recommend technical solutions, weighing trade-offs and performance impactsConduct root-cause analysis across data pipelines, infrastructure, and BilayersEnsure reliability and accuracy of data models, including validation and testing processesOptimize SQL queries and storage structures for performance and cost efficiencyWork closely with engineering, analytics, and business teams to deliver data solutions on timeParticipate in Agile ceremonies, sprint planning, and architecture discussionsContribute to continuous improvement of engineering practices and standards
Key Skills:
7+ years' experience as a data engineer or BI/data analytics engineerStrong expertise in Power BI (2-3 years), including DAX, Power Query (M), modeling, and performance tuningAdvanced SQL skills and deep experience with relational databases, especially MySQLHands-on experience with cloud data warehouses such as Google Big Query or Amazon RedshiftExperience with ETL tools such as Talend, SAP, BODS, or similarExperience building data models, designing schemas, and integrating multiple data sourcesStrong knowledge of Git and version control best practicesExperience working in GCP, AWS, or Azure (GCP preferred)Understanding of systems architecture, high availability, and cloud design patternsExcellent verbal and written communication skillsAbility to work collaboratively in a team environmentStrong analytical thinking, problem-solving, and decision-making abilities
