The Role: Associate Director, Data Engineer
The Digital Technology Services (DTS) Business Intelligence team is responsible for providing DTS and the wider organization with data and insights through reporting on and around IT, Financials, and other corporate datasets. We are seeking an experienced and forward-thinking Senior Data Engineer to join the team. In this role, you will design and build the pipelines, lakehouse datasets, and Power BI data products that our internal customers rely on — from senior leadership to individual users — and set the engineering standards the team builds to. You will work across the full data-to-insight lifecycle, from extraction and data wrangling through to modelling, reporting, and ongoing support, using Databricks, Microsoft Fabric, Azure, and Power BI.
The Senior Data Engineer will be instrumental in how our organization understands and uses its corporate and technology data. By building reliable, well-modelled, and well-documented datasets and the reporting layer on top of them, this role will directly improve operational decision-making and reduce the time it takes to get from question to answer. The work will have downstream impact on our customers by ensuring our organization operates on reliable, high-integrity data — enabling faster insight, better governance, and a stronger data foundation across the enterprise.
Strong learning and growth opportunities: This role offers robust learning opportunities through close collaboration with experienced data professionals, along with hands-on exposure to building enterprise data products end to end.
Own high-impact, enterprise-wide data products: Work across the whole data lifecycle: Exciting and varied data, with each set presenting new and interesting challenges across extraction scripts, data wrangling and engineering, modelling, and reporting.
Gain hands-on experience with Databricks, Microsoft Fabric, Azure, and Power BI in a live enterprise environment, and help shape how the team uses them.
Design, build, and maintain scalable ETL/ELT pipelines that ingest data from diverse source systems into our lakehouse and warehouse.
Apply data manipulations and transformations in SQL, Python, and Power BI (DAX / Power Query), and maintain and update the datasets our data products depend on.
Design and evolve data models and gold-tier datasets in Databricks and Microsoft Fabric for downstream reporting, consumption, and distribution.
Leverage Azure cloud services for scalable data ingestion, transformation, storage, and processing.
Implement automated job scheduling, monitoring, and observability, with self-healing capabilities where possible.
Own data quality in reporting and crafted data through automated testing, validation, reconciliation, and continuous improvement.
Document data manipulations and transformations for the data dictionary, and uphold coding standards, code quality tooling, and automated test coverage across the team's codebase.
Work with the data produced at the data engineering layer to build useful, performant visualizations in Power BI.




Build and maintain Power BI dataflows and semantic models, and set reports up to refresh reliably on an ongoing basis.
champion support best practices and improve our users' experience.
Work closely with the scrum team, product owner, and other stakeholders to understand data requirements and translate them into technical solutions, collaborating with cross-functional teams to design and implement data-driven solutions.
Serve as a senior technical contributor and mentor within the team, establishing best practices, coding standards, and architectural principles.
Ultimately accountable for the quality and integrity of the data products and pipelines you own.
Experience: 8+ years in data engineering, business intelligence, or a related discipline, including time operating as a senior or lead technical contributor.
Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.
Data Engineering: Strong skills in ETL/ELT pipeline design, dimensional and lakehouse data modelling, and Python for data transformation.
SQL: Advanced SQL for data manipulation, transformation, and performance tuning.
Power BI: Proficiency in Power BI, DAX, Power Query, dataflows, and semantic model design, with strong analytical capability to read and interpret data and visualizations to draw insights.
Hands-on experience with Databricks for scalable processing and Microsoft Fabric for data lakehouse architectures and data distribution; Snowflake, Dremio) is an advantage.
Cloud Platforms: Proficiency with Azure cloud services for scalable data processing and storage.
Testing & Quality: Experience with automated testing, code quality tools (e.g. Data Governance: Experience with data governance, data security, and documentation practices, including data dictionaries and lineage.
Flexibility: Open to working flexible hours as per business needs.
Certifications in data architecture, engineering, or analytics (e.g. Microsoft Certified: Azure Data Engineer Associate, Databricks Certified Data Engineer, Google Cloud Professional Data Engineer).
Understanding of the end-to-end data-to-insight lifecycle.
Familiarity with machine learning and AI concepts and the data foundations they require.
Experience with additional cloud computing platforms, including Amazon Web Services.
Experience with Tableau or other visualization tools.
Expectation Management: Skilled at aligning stakeholders across business and technology on timelines, scope, and trade-offs.
Strong interpersonal skills, able to translate highly technical data and architecture concepts into clear, actionable narratives for a wide, non-technical audience.




Strong analytical mindset with a pragmatic, data-driven approach to diagnosing and resolving complex data quality challenges.
Creativity in coming up with solutions around data and the end-user experience, and a habit of staying current with trends and technologies in data tooling and engineering.
Advancing Essential Intelligence.
We're more than 35,000 strong worldwide—so we're able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us all.From finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We're committed to a more equitable future and to helping our customers find new, sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.
Throughout our history, the world's leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do, bring a spirit of discovery to our work, and collaborate in close partnership with each other and our customers to achieve shared goals.
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
At S&P; Global, we are committed to fostering a connected and engaged workplace where all individuals have access to opportunities based on their skills, experience, and contributions. Our hiring practices emphasize fairness, transparency, and merit, ensuring that we attract and retain top talent. Recruitment Fraud Alert
S&P; Global never requires any candidate to pay money for job applications, interviews, offer letters, 'pre-employment training' or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here.
S&P; Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.
If you need an accommodation during the application process due to a disability, please send an email to: [HIDDEN TEXT] and your request will be forwarded to the appropriate person.
2 - Middle Management Tier II (EEO Job Group)

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