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

Data Scientist - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Español
- Azure
- Doctorado
Technical Product Manager - Data Platform
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Python
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Engineering Manager
Prima —Madrid, Madrid provincia
- Teletrabajo
- SQL
- AWS
- Desarrollo de software
- Abono gimnasio
Solicitud rápida
Data Engineer - Life & Health Reinsurance
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Snowflake Database Administrator (DBA)
SDG Group —Madrid, Madrid provincia
- Teletrabajo
- Español
- Azure
- Informática
Solicitud rápida
Data & AI Strategy Data Science Analyst
Accenture —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Inglés
- Oficina
Collibra Platform Engineer
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- Inglés
Senior Python Engineer – ML Platform
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Desarrollo de software
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Consultant - German Speaker
Keyrus Portugal —Alcobendas, Madrid provincia
- Jornada completa
- Teletrabajo
- Azure
- Inglés
- Máster
Solicitud rápida
Senior Software Engineer — Spatial Analytics & Open Formats
CARTO —Madrid, Madrid provincia
- Jornada completa
- Teletrabajo
- Oracle
- Inglés
- Máster
Solicitud rápida
Data Engineer - Data Architecture (dbt)
SDG Group —Madrid, Madrid provincia
- Teletrabajo
- Informática
- AWS
- Oportunidades de crecimiento y desarrollo profesional
Solicitud rápida
Data Engineer Consultant
BIP - Business Integration Partners —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Oracle
Business Intelligence Consultant
Avanade —Madrid, Madrid provincia
- Azure
- Investigación
- Máster
Senior MLOps Engineer Agentic Senior
Capgemini —Madrid, Madrid provincia
- Trabajo híbrido
- Azure
- DevOps
- SQL
Director, Data Engineering (Capital Markets)
JLL —Madrid, Madrid provincia
- Azure
- Informática
- DevOps
10d
Senior Python Software Engineer
Prima —Madrid, Madrid provincia
- Teletrabajo
- AWS
- Machine learning
- Desarrollo de software
- Teletrabajo opcional
- Abono gimnasio
Solicitud rápida
Data Actuary - Life & Health
Munich Re —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Azure
- Inglés
- Plan de pensiones
Senior Data Scientist I - QuantumBlack, AI by McKinsey
McKinsey & Company —Madrid, Madrid provincia
- Azure
- Doctorado
- Informática
2d
Senior MLOps Engineer
Mindtech —Madrid, Madrid provincia
- Jornada completa
- Azure
- AWS
- Machine learning
Solicitud rápida
Senior Business Intelligence Engineer
Avanade —Madrid, Madrid provincia
- Azure
- Investigación
- Máster
10d

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Data Scientist - QuantumBlack, AI by McKinsey

McKinsey & Company -
Madrid, Madrid provincia

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Detalles del empleo

Contrato para la formación y el aprendizaje

Cualificaciones

Español
Azure
Doctorado
Informática
Inglés
Máster
SQL
AWS
Docker
Grado
Machine learning
Portugués
Cloud
Inteligencia artificial

Descripción completa del empleo

Job ID: 100250

Madrid

Do you want to do work that matters, alongside supportive leaders who will help you grow faster than you ever thought possible? Are you a creative problem-solver who is energized by challenges? You’ve come to the right place.

YOUR IMPACT

As a Data Scientist, you will collaborate with clients and interdisciplinary teams to develop impactful analytics solutions, optimize code, and solve real-world business problems across diverse industries.

You’ll grow as a technologist by contributing to cutting-edge projects, R&D, and global conferences while working alongside world-class talent in a dynamic, innovative environment.

In this role, you will partner with clients to understand their needs and develop impactful analytics solutions. You will translate business problems into analytical challenges, build models to solve them, and ensure they are evaluated with relevant metrics. You’ll also contribute to internal tools, participate in R&D projects, and have opportunities to attend and present at conferences like NIPS and ICML.

Your work will create real-world impact. By identifying patterns in data and delivering innovative solutions, you will help clients maintain their competitive advantage and transform their day-to-day operations. Your contributions will directly influence business outcomes and drive lasting improvements across industries.

You will be based in Madrid or Lisbon, and collaborate closely with data scientists, data engineers, machine learning engineers, designers, and product managers around the world working on interdisciplinary projects that use math, statistics, and machine learning to derive insights from raw data. You will help global companies transform their businesses and enhance performance across industries such as healthcare, automotive, energy, and elite sports.

You’ll thrive in an unparalleled environment for growth. You’ll develop a sought-after perspective by connecting technology and business value, tackle real-life challenges across diverse industries, and collaborate with inspiring multidisciplinary teams, gaining a holistic understanding of AI and its potential to drive transformation.

Our Tech Stack

While we advocate for using the right tech for the right task, we often leverage the following technologies: Python, PySpark, the PyData stack, SQL, Airflow, Databricks, our own open-source data pipelining framework called Kedro, Dask/RAPIDS, container technologies such as Docker and Kubernetes, cloud solutions such as AWS, GCP, and Azure, and more.

YOUR GROWTH

Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.

In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues—at all levels—will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won’t find anywhere else.

When you join us, you will have:

Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
A voice that matters: From day one, we value your ideas and contributions. You’ll make a tangible impact by offering innovative ideas and practical solutions, all while upholding our unwavering commitment to ethics and integrity. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm’s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you’ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.

YOUR QUALIFICATIONS AND SKILLS

0-2+ years of professional experience in applying machine learning and data mining techniques to real problems with copious amounts of data

Bachelors, Master’s or PhD level degree in a discipline such as: computer science, machine learning, applied statistics, mathematics, engineering or artificial intelligence

Ability to prototype statistical analysis and modeling algorithms and apply these algorithms for data driven solutions to problems in new domains

Ability to independently own and drive model development, balancing demands and deadlines

Demonstrated aptitude for analytics

Exceptional time management to meet your responsibilities in a complex and largely autonomous work environment

Good presentation and communication skills, with the ability to explain complex analytical concepts to people from other fields

Strong communication skills, both verbal and written, in English, and Spanish or Portuguese, with the ability to adjust your style to suit different perspectives and seniority levels

Willingness to travel

Please review the additional requirements regarding essential job functions of McKinsey colleagues.

Our unwavering commitment to integrity drives everything we do, guiding us to always act in the best interests of our clients, our people, and the communities we serve.

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databricks data engineer empleos en madrid, md

Data Scientist - QuantumBlack, AI by McKinsey

Technical Product Manager - Data Platform

Data Engineering Manager

Data Engineer - Life & Health Reinsurance

Snowflake Database Administrator (DBA)

Data & AI Strategy Data Science Analyst

Collibra Platform Engineer

Senior Python Engineer – ML Platform

Data Consultant - German Speaker

Senior Software Engineer — Spatial Analytics & Open Formats

Data Engineer - Data Architecture (dbt)

Data Engineer Consultant

Business Intelligence Consultant

Senior MLOps Engineer Agentic Senior

Director, Data Engineering (Capital Markets)

Senior Python Software Engineer

Data Actuary - Life & Health

Senior Data Scientist I - QuantumBlack, AI by McKinsey

Senior MLOps Engineer

Senior Business Intelligence Engineer

Quiero recibir la alerta de empleo más reciente de databricks data engineer en madrid, md

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