Join a fast‑growing data engineering team that builds scalable pipelines and database platforms to power next‑generation analytics for global energy markets. You’ll work cross‑functionally to deliver reliable, high‑performance data solutions that enable critical business decisions.
What You’ll Do
- Design and maintain scalable data pipelines for operational and analytical workloads.
- Develop and optimise relational and NoSQL database solutions ensuring data quality.
- Build ingestion, integration, transformation, and storage layers using SQL and Python.
- Collaborate with product, engineering, analytics, and architecture teams on data challenges.
- Create APIs, data services, and automation frameworks to boost accessibility.
- Enhance platform reliability, observability, and scalability through continuous improvement.
What You Need
- 5+ years in data or database engineering roles.
- Proficiency with NoSQL databases such as MongoDB, Cassandra, DynamoDB, or Elasticsearch.
- Strong background in database design, modelling, indexing, and performance tuning.
- Experience with cloud platforms (AWS, Azure, or GCP) and native data services.
- Hands‑on skills in Python, SQL, RESTful APIs, and frameworks like FastAPI or Flask.
- Familiarity with workflow orchestration, version control, CI/CD, and container orchestration.
The Opportunity
S&P Global Energy delivers essential intelligence across energy and commodities markets, fostering a culture rooted in integrity, discovery, and partnership while supporting your professional growth.