Senior Data Engineer, hibrido
Empresa
UST
Provincia
Madrid
Ciudad
Madrid
Tipo de Contrato
Tiempo Completo
Descripción
Senior Data Engineer
We are looking for the very Top Talent and we would be delighted if you were to join our team!
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What we look for?
A hands-on Dataiku Specialist / Data Engineer who can build scalable data workflows, support business users, and drive adoption of the platform across the organization.
Main tasks and accountabilities will be:
- Design, develop, and maintain data pipelines in Dataiku (ingestion, transformation, automation)
- Translate business requirements into efficient data workflows using SQL and Python
- Provide user support and best practices guidance across IT and business teams
- Contribute to the Dataiku Competence Centre (standards, reusable assets, collaboration)
- Deliver training, workshops, and onboarding materials
- Integrate Dataiku into broader data ecosystems (batch processes, automated workflows)
- Ensure data governance, security, and proper documentation (lineage, dependencies)
- Leverage advanced Dataiku features (scenarios, APIs, webapps)
What do we expect from you?
- Strong hands-on experience with Dataiku DSS
- Advanced SQL and solid Python (pandas, automation)
- Experience with data pipelines / ETL and relational databases
- Familiarity with cloud storage (AWS S3, Azure Blob) and data formats (CSV, JSON, Parquet)
- Knowledge of Git and Agile methodologies
- Good understanding of data governance and metadata management
- Strong communication skills (technical 194 business) and user-oriented mindset
- Proactive, organized, and collaborative approach
Nice to have:
- Dataiku certifications
- APIs and scripting (Bash, PowerShell)
- BI tools (Power BI, Tableau)
- Experience in financial services
Work Location:
Hybrid position in Madrid (3 days at client 019s office, Sol area, next to the underground).
Work Schedule:
Business hours (40 hours weekly with 1 hour for lunch).
What can we offer?
23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
Retribuci
Dataiku, SQL, Python, pandas, AWS S3, Azure Blob,
We are looking for the very Top Talent and we would be delighted if you were to join our team!
More in details, UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work company with over 35,000 employees all over the world and presence in more than 35 countries. We are leaders on digital technology services, and we provide large-scale technologic solutions to big companies.
What we look for?
A hands-on Dataiku Specialist / Data Engineer who can build scalable data workflows, support business users, and drive adoption of the platform across the organization.
Main tasks and accountabilities will be:
- Design, develop, and maintain data pipelines in Dataiku (ingestion, transformation, automation)
- Translate business requirements into efficient data workflows using SQL and Python
- Provide user support and best practices guidance across IT and business teams
- Contribute to the Dataiku Competence Centre (standards, reusable assets, collaboration)
- Deliver training, workshops, and onboarding materials
- Integrate Dataiku into broader data ecosystems (batch processes, automated workflows)
- Ensure data governance, security, and proper documentation (lineage, dependencies)
- Leverage advanced Dataiku features (scenarios, APIs, webapps)
What do we expect from you?
- Strong hands-on experience with Dataiku DSS
- Advanced SQL and solid Python (pandas, automation)
- Experience with data pipelines / ETL and relational databases
- Familiarity with cloud storage (AWS S3, Azure Blob) and data formats (CSV, JSON, Parquet)
- Knowledge of Git and Agile methodologies
- Good understanding of data governance and metadata management
- Strong communication skills (technical 194 business) and user-oriented mindset
- Proactive, organized, and collaborative approach
Nice to have:
- Dataiku certifications
- APIs and scripting (Bash, PowerShell)
- BI tools (Power BI, Tableau)
- Experience in financial services
Work Location:
Hybrid position in Madrid (3 days at client 019s office, Sol area, next to the underground).
Work Schedule:
Business hours (40 hours weekly with 1 hour for lunch).
What can we offer?
23 days of Annual Leave plus the 24th and 31st of December as discretionary days!
Numerous benefits (Health Care Plan, teleworking compensation, Life and Accident Insurances).
Retribuci
Dataiku, SQL, Python, pandas, AWS S3, Azure Blob,