6 publicaciones de empleo destacadas de engineer, python (madrid based) en madrid, md (¡Están contratando!)

Senior Dataiku Specialist
EPAM Systems, Inc. —Madrid, Madrid provincia
- Azure
- Inglés
- Oficina
- Vacaciones pagadas
- Programa de recomendación
AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Azure
- Informática
- DevOps
Engineering Manager
Embat —Madrid, Madrid provincia
- Jornada completa
- Trabajo híbrido
- Español
- Inglés
- JavaScript
Senior Data Platform / Data Engineer
Straumann Group —Madrid, Madrid provincia
- Jornada completa
- AWS
- Machine learning
- Python
(RD) Senior Engineering Team Lead
Backbase —Madrid, Madrid provincia
- Máster
- Python
Solicitud rápida
Senior SQA Engineer (Python)
Align Technology —Madrid, Madrid provincia
- Jornada completa
- Informática
- Inglés
- Máster
Solicitud rápida

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AI Data Architect (m/f/d)
BASF —Madrid, Madrid provincia
About the Job: AI Data Architect in a project-oriented team who designs scalable, enterprise-grade data architectures and leads the engineering of robust data…

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Senior Dataiku Specialist

EPAM Systems, Inc. -
Madrid, Madrid provincia

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Detalles del empleo

Beneficios

Vacaciones pagadas
Programa de recomendación

Cualificaciones

Power BI
Azure
Relational databases
Gestión de servicios de IT
Alteryx
Git
Inglés
Tableau
Bash
SQL
AWS
JavaScript
Scripting
APIs
ETL
Agile
Cloud
S3
Servicios financieros
JSON
Python
PowerShell
Shell Scripting

Descripción completa del empleo

We're looking for a Senior Dataiku Specialist to join our team to support the growth of our client’s data capabilities by designing, developing and maintaining scalable workflows in Dataiku DSS. You will play a crucial role in platform adoption, enabling self-service analytics and contributing to the creation of a centralized Dataiku Competence Centre. This position offers an opportunity to combine technical expertise with a collaborative, client-focused approach, promoting best practices and empowering users across the organization.

This is a hybrid role based in Madrid, ideal for those eager to thrive in a dynamic environment and make a significant impact in private banking technology. Join EPAM and contribute to shaping the future of financial services in Spain!

Responsibilities

Design, develop, test and maintain robust data workflows in Dataiku, including ingestion, cleaning, transformation and automation
Translate business and technical requirements into efficient, documented and reusable data pipelines using SQL and Python
Provide user support for Dataiku projects, resolving technical issues and advising on best practices
Contribute to the establishment of a Dataiku Competence Centre by promoting standards and reusable assets
Develop and deliver training materials, workshops and demos to enable users of varying proficiency levels
Collaborate with data engineers, analysts and IT teams to integrate Dataiku into batch and automated workflows
Apply agile development practices, including sprints, code reviews and Git version control integration
Ensure compliance with data governance, information security and privacy standards in all project activities
Document data logic, lineage and operating procedures for sustainability and audit readiness
Explore advanced Dataiku features such as scenarios, APIs and model scoring to extend platform capabilities

Requirements

Proven experience building and managing projects in Dataiku DSS, including data preparation and workflow automation
Strong SQL skills, including writing complex queries and performance optimization
Proficiency in Python for data manipulation and automation within Dataiku
Familiarity with relational databases, cloud storage (AWS S3, Azure Blob) and common data formats (CSV, JSON, Parquet)
Basic understanding of IT service management and agile methodologies
Experience with version control using Git and its integration with Dataiku projects
Knowledge of data governance principles and ETL processes in enterprise environments
Strong communication skills for explaining technical topics to non-technical audiences
Highly organized with the ability to manage multiple tasks in a deadline-driven environment
Fluent in English, both written and spoken

Nice to have

Dataiku certifications (Data Scientist or Data Engineer track)
Experience with Dataiku APIs, scripting (PowerShell, Bash, JavaScript)
Familiarity with BI tools such as Tableau, Power BI or Alteryx
Background in financial services or private banking

We offer

Private health insurance
EPAM Employees Stock Purchase Plan
100% paid sick leave
Referral Program
Professional certification
Language courses

EPAM is a leading digital transformation services and product engineering company with 61,700+ EPAMers in 55+ countries and regions. Since 1993, our multidisciplinary teams have been helping make the future real for our clients and communities around the world. In 2018, we opened an office in Spain that quickly grew to over 1,450 EPAMers distributed between the offices in Málaga, Madrid and Cáceres as well as remotely across the country. Here you will collaborate with multinational teams, contribute to numerous innovative projects, and have an opportunity to learn and grow continuously.

Why Join EPAM
WORK AND LIFE BALANCE. Enjoy more of your personal time with flexible work options, 24 working days of annual leave and paid time off for numerous public holidays.
CONTINUOUS LEARNING CULTURE. Craft your personal Career Development Plan to align with your learning objectives. Take advantage of internal training, mentorship, sponsored certifications and LinkedIn courses.
CLEAR AND DIFFERENT CAREER PATHS. Grow in engineering or managerial direction to become a People Manager, in-depth technical specialist, Solution Architect, or Project/Delivery Manager.
STRONG PROFESSIONAL COMMUNITY. Join a global EPAM community of highly skilled experts and connect with them to solve challenges, exchange ideas, share expertise and make friends.

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engineer, python (madrid based) empleos en madrid, md

Senior Dataiku Specialist

AI Data Architect (m/f/d)

Engineering Manager

Senior Data Platform / Data Engineer

(RD) Senior Engineering Team Lead

Senior SQA Engineer (Python)

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