20 publicaciones de empleo destacadas de big data engineer en madrid, md (¡Están contratando!)

Data Engineer - Stress Testing
BNP Paribas —Madrid, Madrid provincia
- Jornada completa
- Inglés
- Máster
- SQL
Hardware Test Engineer – Aerospace and Defense
ARQUIMEA —Madrid, Madrid provincia
- Trabajo híbrido
- C++
- Project management
- Python
Solicitud rápida
Electronics Production & Process Engineer (Hybrid)
Thales —Madrid, Madrid provincia
- Jornada completa
- AutoCAD
- Español
- Microsoft Excel
Consultor/a Data Engineer (Azure Synapse)
Indra —Madrid, Madrid provincia
- Azure
- SQL
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Senior Data Engineer | 100% remote
UST —Madrid, Madrid provincia
- Teletrabajo
- Inglés
- SQL
- AWS
- Abono gimnasio
Solicitud rápida
13d
DevOps Engineer CI/CD
dLocal —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- DevOps
- Scripting
- Inteligencia artificial
Solicitud rápida
Python Machine Learning Engineer (Hybrid - Madrid)
UST —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
- Abono gimnasio
Solicitud rápida
Data Engineer. Sector Defensa
Indra —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Data Engineer - Life & Health Reinsurance
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Software Engineer III
Sinch —Madrid, Madrid provincia
- De 45.000 € a 60.000 € al año
- Jornada completa
- Microsoft Excel
- Inglés
- Java
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Senior AI/ML Computational Scientist
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Doctorado
- Informática
Senior Data Engineer (SQL + DBT)
knowmad mood —Madrid, Madrid provincia
- De lunes a viernes
- Trabajo híbrido
- SQL
- APIs
- Habilidades de comunicación
Sr Technical Support Engineer, Focused Services
Palo Alto Networks —Madrid, Madrid provincia
- Jornada completa
- Azure
- Sistema operativo Windows
- AWS
7d
Hardware Quality Assurance Engineer (Space and Defense)
ARQUIMEA —Madrid, Madrid provincia
- Ensamblaje
- Manufactura
Solicitud rápida
Software Engineer III
Expedia —Madrid, Madrid provincia
- De 55.500 € a 78.000 € al año
- Jornada completa
- Informática
- Java
- Máster
- Seguro dental
- Vacaciones pagadas
Data Engineer - Developer
BNP Paribas —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Oracle
- Inglés
- Oficina
4d
Deloitte SW Engineer - Experience Cloud Native AWS
Deloitte —Madrid, Madrid provincia
- Teletrabajo
- DevOps
- Inglés
- Oficina
- Flexibilidad horaria
Data Engineer. Sector Defensa
Minsait —Madrid, Madrid provincia
- Azure
- Informática
- Inglés
- Formación continua
- Oportunidades de crecimiento y desarrollo profesional
Machine Learning Engineer III
Expedia —Madrid, Madrid provincia
- De 55.500 € a 78.000 € al año
- Jornada completa
- Informática
- Máster
- AWS
- Seguro dental
- Vacaciones pagadas

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Data Engineer - Stress Testing

BNP Paribas -
Madrid, Madrid provincia

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Detalles del empleo

Contrato indefinido | Jornada completa

Cualificaciones

Power BI
Big data
R
Inglés
Máster
SQL
Desarrollo de Back-End
REST
Requisitos comerciales
Python

Descripción completa del empleo

ABOUT THE JOB

The Stress Testing Data Analytics (STDA) team belongs to the Produce Pillar of MS4U department. The MS4U department focuses on several key missions: developing models (pillar 1 and pillar 2), conducting backtestings and simulation activities, producing regulatory stress testing exercises (EBA, ECB), supporting ICAAP and budget exercises, generating IFRS9 ECL reports, preparing regulatory reporting (including climate risk, NPL, benchmarking RWA/IFRS9), and performing local stress tests.

The STDA team consists of data engineers and project managers working within the scope of credit risk and securitization. STDA collects, analyzes, reconciles, and builds databases to ensure the success of these exercises.

The team works in a Big Data environment. Dataiku V14 streamlines collaborative development (in SQL, Pyspark) by allowing multiple team members to design, test, and deploy data workflows, while Power BI enables sharing actionable insights across departments.

The team works in partnership with the IT department on the platform. They support the team on a daily-basis and help with back-end big data engineering support and maintenance.

In this role, you will join the team dedicated to credit risk. Your primary responsibility will be to handle big data, perform data quality assessments, analyze risk parameters across multiple dimensions, report relevant insights based on data analysis and prepare the databases used for the projection of credit risk parameters.

YOUR MAIN ACTIVITIES ARE

Perform data collection and build/maintain reliable data transformation pipelines
Work on data ingestion, data quality, data preparation, data cleaning and data analysis
Automate, optimize and document the data preparation processes
Develop dynamic Dashboards to report on the most relevant and frequent business topics
Work closely with data providers and clients to get technical and business requirements
Specific contributions to regulatory and internal stress testing exercises

PROFILE AND SKILLS TO SUCCESS

Strong academic background, with a master’s degree
Relevant experience in data related roles including analysis, engineering, visualization
Technical Skills:
- Significant experience in data exploration and data preparation
- Proven record in SQL
- Experience with Python programming language is a must
Knowledge of Risk Management principles is a plus
Strong interest in data management and functional content of the stress test data
Ability to work with tight deadlines and multidisciplinary teams
Be a team player
Good organization to follow-up multiple topics
Reliability and sense of precision
Good communication skills, both written and verbal
Languages: English

ABOUT THE TEAM

The team named MS4U, for Models & Simulations for You; which is a cross-functional platform, designed to provide integrated, end-to-end modelling and simulations capability. It unites RISK M&R (Models & Regulatory), STFS (Stress Testing & Financial Simulations), quant teams from RISK CPBS, RISK ESG (modelling), and other modelling competence centres, creating a shared, coherent, Group-wide modelling ecosystem.

By joining MS4U team, you will be part of a dynamic, talented and expert team with an international reach.

WHY JOINING BNP PARIBAS?

Leading banking institution

BNP Paribas is a leader in the Eurozone, and a prominent international banking institution with strong roots in Europe's banking history. It has a presence in 65 countries, with around 190 000 Employees – including more than 145 000 in Europe.

International reach

Thanks to its international presence and regular and close collaboration among its different entities, BNP Paribas has the resources to support all clients with financing, investment, savings and protection solutions that help make their projects a success. BNP Paribas holds key positions in its three core operating divisions:

Retail banking, a division that brings together all the Group’s retail activities and specialized business lines;
Investment & protection services that include specialized businesses offering a wide range of savings, investment and protection services;
Corporate & institutional banking division offers tailored financial solutions for corporate and institutional clients.

Diversity and Inclusion commitment

BNP Paribas is an equal opportunity employer and proud to provide equal employment opportunity to all job seekers. We are actively committed to ensuring that no individual is discriminated against on the grounds of age, disability, gender reassignment, marriage or civil partnership status, pregnancy and maternity/paternity, race, religion or belief, sex or sexual orientation. Equity and diversity are at the core of our recruitment policy because we believe that they foster creativity and efficiency, which in turn increase performance and productivity. We strive to reflect on the society we live in, while keeping with the image of our clients.

Commitment towards work/life balance

At BNP Paribas we care about our employees’ well-being and promote a culture of good integration between work and rest. We believe our employees have rich personal lives outside of work, being fundamental to being disconnected from work to recharge both physically and mentally. Only through this balance may we all be at our best while working.

Remote Working Conditions

At BNP Paribas, we embrace a Smart Working framework based on trust, autonomy and collaboration. Within this framework, eligible employees can benefit from flexible remote working modalities adapted to our hybrid working environment. To guarantee a comfortable and efficient working set-up, eligible employees are provided with both the office and home equipment, are entitled to an equipment allowance and can benefit from exclusive partnerships to purchase additional equipment at reduced prices.

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