Lead Data Platform & Technical Office
Lead the definition and implementation of a Data Technical Office focused on governance and industrialization.
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Still open when we checked on 26 Sept
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This job was automatically translated to English.
✅ Essential Requirements
Between 3 and 5 years of experience as a Data Scientist.
Experience in data projects within the banking or financial sector (Bankinter, Santander, BBVA, CaixaBank, American Express, or similar).
Experience working with Google Cloud Platform (GCP).
Solid experience with BigQuery.
Proficiency in Python.
Proficiency in SQL.
Participation in Data Engineering, Data Labs, or Advanced Analytics projects.
Experience manipulating large volumes of data and developing analytical solutions.
⭐ Highly Valuable
Experience with Dataiku (highly valued and priority).
Experience in Machine Learning projects.
Knowledge of MLOps.
Experience in Cloud environments.
Experience in the banking or financial sector.
Knowledge of data governance and quality.
🎯 What we are looking for
We are looking for a Data Scientist with experience in advanced analytics projects and data platforms, preferably in the banking or financial sector.
The selected person will participate in data analysis projects, development of analytical models, and exploitation of large volumes of information using Cloud technologies on Google Cloud Platform (GCP).
We are looking for a profile with practical experience in BigQuery, SQL, and Python, accustomed to working alongside Data Engineering, Data Labs, and Advanced Analytics teams.
Development of Data Science and Advanced Analytics solutions.
Construction and optimization of queries on BigQuery.
Development of data processing and transformation processes using Python and SQL.
Participation in Data Engineering and data platform projects.
Development of analytical models and support for Machine Learning initiatives.
Exploitation and analysis of large volumes of data.
Collaboration with business and technology teams for the definition of analytical use cases.
Optimization of the performance of processes and queries on Cloud platforms.
Documentation of solutions and development best practices.
🏠 Modality: 100% Remote
💰 Salary: Based on experience
📅 Project: Stable
✔ Data Science
✔ Machine Learning
✔ Advanced Analytics
✔ Data Modeling
✔ Data Exploration and Analysis
✔ Feature Engineering
✔ Data Visualization
✔ Google Cloud Platform (GCP)
✔ BigQuery
✔ Cloud Storage
✔ Data Processing
✔ Data Pipelines
✔ Python
✔ Pandas
✔ Numpy
✔ Development of notebooks and analytical processes
✔ Data Engineering
✔ Data integration
✔ Data quality
✔ SQL query optimization
✔ Large volumes of information
🎯 Duties
👤 Competencies
Analytical skills.
Results orientation.
Proactivity.
Problem-solving.
Teamwork.
Communication with technical and business teams.
Ability to work autonomously in agile environments.
Tecdata Engineering (TECDATA ENGINEERING) is a technology consulting and services provider specialized in global technology projects, with a portfolio covering custom software development, legacy modernization, managed services, cloud infrastructure, Salesforce, cybersecurity (including SOC, pentesting and NIS2 compliance), and data & AI services, alongside IT talent services such as headhunting and staff augmentation. The company reports being founded in 2012 with around 500 employees ("Compañeros 500") and 5M in billing, and forms part of a broader technology consulting group with more than 550 consultants across 5 countries. It states it is present in major economic sectors including banking, telecommunications, and insurance.
In Spain, Tecdata Engineering hires across multiple locations including Madrid, Barcelona, and Bilbao, with a significant share of openings marked "Completamente remoto" (fully remote) or hybrid. Its careers portal organizes vacancies into departments such as Desarrollo y QA, Ciberseguridad, Cloud, DevOps, Sistemas y Producción, Gestión de Proyectos, Comercial, and RRHH, and current openings range from COBOL and mainframe-adjacent banking roles to data engineering, Salesforce, SAP, cybersecurity, and air traffic management QA. For international professionals considering a move to Spain, the volume of remote-eligible roles across the country is notable, though the company's careers and website content is published in Spanish.
Keywords: Data Scientist, Google Cloud Platform, GCP, BigQuery, SQL, Python, Data Engineering, Data Labs, Advanced Analytics, Machine Learning, Dataiku, ETL, Analytics, Banking, Cloud, Financial Services.
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