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Data Integration Analyst
Solidus Labs · London, United Kingdom
About The Role
Join our team as a Data Integration Analyst, where you will be responsible for the end-to-end onboarding and normalization of external data into our platform's standardized schema. You will work closely with clients, data vendors, product, and R&D to translate heterogeneous source feeds into a consistent, load-ready format. This role requires a detail-oriented, analytical, and service-minded individual who is comfortable with both technical specifications and client-facing communication.
- Onboarding and normalizing external data into the platform's standardized schema, ensuring accurate mapping and alignment with updated schemas.
- Coordinating and integrating market data feeds, scoping requirements, aligning with vendors, and mapping relevant fields to the standardized format.
- Driving each integration end to end with R&D and the client, from initial sample through validated ingestion, confirming correctness in UAT before promoting to production.
- 5+ years in a data integration, data analyst, support, technical onboarding, or business/operations analyst role
- High attention to detail and a structured, methodical approach to data mapping and validation
- Exposure to data integration / ETL / adapter development workflows
- Excellent communication and stakeholder management; able to bridge technical and business conversations with both R&D and clients
- Strong service orientation and ownership — able to drive an integration from specification through to validated, end-to-end delivery
- Scripting or query experience (e.g., Python, SQL) for inspecting and transforming data
- Strong analytical skills; comfort working with structured data, schemas, field-level mapping, and tabular formats (e.g., CSV, XML, JSON)
- Bachelor's degree in Information Systems, Industrial/Software Engineering, Computer Science, Data Analytics, or a related field — or equivalent practical experience
- Familiarity with Level 1 vs Level 2 market data and order/execution lifecycle concepts
- Experience with financial / market data or trading systems and their data requirements
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