The role

- Build the prioritisation engine: business rules, objective function and expected-value scoring per company/product.
- Architect data pipelines on AWS (Glue, Step Functions, Lambda, S3, Athena, Bedrock) that replace static lists and manual CRM/Excel crosses with automated opportunity identification.
- Lead a cross-functional team of Data Engineers and Data Scientists , mentoring them on architecture, data quality and the integration of scoring/ML models into production.
- Build full traceability into the system , target perimeter vs. covered perimeter.
- Design the criteria-governance and market-intelligence layers as a reusable standard across business units, banks and countries.
- Collaborate closely with Product and Business teams to turn real banking pain points into a robust, sellable product.

What we're looking for

- Strong quantitative and analytical mindset , comfortable translating business criteria into scoring and prioritisation logic.
- At least 5 years of experience in data-intensive roles (Data Engineering, Analytics or Data Science), with at least 2 years leading or coordinating technical teams.
- Solid experience designing and operating AWS cloud architectures for data workloads (S3, Glue, Lambda, Step Functions, Athena, RDS).




- Expert knowledge of Python for data engineering and analytical applications; SQL proficiency for complex querying and data modelling.
- Demonstrated experience building scoring, prioritisation or recommendation systems that combine business rules with data-driven models (next-best-action, lead scoring, opportunity prioritisation, or equivalent).
- Fluency in Spanish and English.

This gives extra points

- Background in Mathematics, Operations Research, Statistics, or other quantitative disciplines.
- Hands‑on experience with constrained/combinatorial optimisation, multi‑armed bandits, or reinforcement learning applied to business decisioning.
- Experience with Big Data frameworks (PySpark, Glue ) and distributed data processing.
- Relevant experience with CI/CD pipelines, infrastructure-as-code (Terraform/CDK ), and container environments (Docker, ECS).
- Experience in Financial Services, banking CRM/commercial platforms, credit risk, or marketing decisioning .
- Previous experience in a startup or fast‑paced environment building multi‑country/multi‑tenant products from scratch, where ownership and autonomy are key.

What we offer

- 25 days of vacation (and your birthday off! )
- Hybrid mode: 2 days in office 3 days in remote

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📌 Data Lead (Madrid)
🏢 mscope
📍 Madrid