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- Permanent Full Time
About the role
More about the role & team
What You’ll Do
- Translate business and product requirements into clear technical data specifications for engineering teams
- Manage data ingestion and transformation workflows, including external vendor data feeds and internal datasets
- Collaborate with developers to deliver data pipelines, feeds, and transformations
- Monitor and improve data quality, identifying anomalies and resolving issues across datasets
- Own small to mid-sized data projects end-to-end, balancing multiple requests and priorities
- Identify opportunities to automate and optimize processes using Python or similar tools
- Partner with stakeholders across product, engineering, and BI teams to ensure data solutions meet business needs
What skills and experience do I need to succeed?
What You Bring
Essential Requirements
- Strong SQL expertise (non-negotiable)
- Ability to work effectively with data pipelines, schemas, feeds, APIs, and data warehouses
- Proven ability to work independently with data and deliver solutions end-to-end
- Experience translating business requirements into clear technical specifications
- Strong communication skills with both technical and non-technical stakeholders
- Ability to operate with high autonomy and manage multiple requests or projects simultaneously
- 1–3 years’ experience in a market data, data analytics, or financial data environment
Nice to Have
- Python for automation or process improvement
- Experience with modern data platforms (e.g., Snowflake)
- Familiarity with data ingestion, transformation, and vendor data workflows
- Experience with BI tools such as Power BI or Tableau
- Exposure to AI tools or an interest in automation
What do we offer?
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