Data Lead

mscope; Madrid; Híbrido; EUR 65.000 - 105.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

25 days vacation

Birthday off!

Hybrid work: 2 days in office, 3 days远

Descripción de la vacante

mscope in Madrid seeks a data-driven leader to design and build a robust prioritisation engine and scalable AWS data pipelines. You will guide a cross-functional team of Data Engineers and Data Scientists, turning complex banking challenges into a scalable, product-ready solution.

You will architect end-to-end data flows, ensure traceability, and collaborate closely with Product and Business teams to deliver impact across multiple units and countries.

Formación

• Strong quantitative and analytical mindset with ability to translate business criteria into scoring logic.
• 5+ years in data-intensive roles (Data Engineering, Analytics or Data Science).
• 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 SQL for complex queries and data modelling.
• Experience building scoring/prioritisation or recommendation systems combining rules with data-driven models.
• Fluency in Spanish and English.

Responsabilidades

• Build the prioritisation engine with business rules and objective function.
• Architect data pipelines on AWS (Glue, Step Functions, Lambda, S3, Athena, Bedrock).
• Lead a cross-functional team of Data Engineers and Data Scientists.
• Ensure full traceability into the system and define governance layers.
• Collaborate with Product and Business teams to turn banking pain points into a product.
• Promote reusable standards across units, banks and countries.

Conocimientos

Quantitative mindset

Analytical mindset

Python

SQL

AWS

PySpark

CI/CD

Terraform/CDK

Docker/ECS

Herramientas

AWS Glue

AWS Step Functions

AWS Lambda

AWS S3

Athena

Bedrock

Descripción del empleo

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