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Data Engineer

UST

Madrid

Presencial

EUR 40.000 - 60.000

Jornada completa

Hace 24 días

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Descripción de la vacante

A leading multinational company is seeking a Data Engineer specializing in Snowflake and DBT to join their remote team in Spain. The role involves designing and optimizing data pipelines, leveraging strong SQL and Python skills. Benefits include 23 days of leave, healthcare, and career growth opportunities.

Servicios

23 days of annual leave
Health insurance
Training platform access
Career stability and growth
Flexible working hours
Badges and discounts

Formación

  • Experience designing and maintaining Snowflake data pipelines.
  • Proficiency in Python for data engineering tasks.
  • Strong SQL skills and experience with DBT.

Responsabilidades

  • Design, develop, and maintain data pipelines using Snowflake.
  • Optimize data warehouse performance and ensure accuracy.
  • Utilize DBT and Python for data transformation workflows.

Conocimientos

SQL
Python
Data Engineering
Snowflake

Descripción del empleo

Join to apply for the Data Engineer (Snowflake / DBT) - Freelance role at UST

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Join to apply for the Data Engineer (Snowflake / DBT) - Freelance role at UST

Role Description

We are still looking for top talent and would be delighted to have you join our team

UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with over 35,000 employees worldwide and presence in more than 35 countries. We are leaders in digital technology services, providing large-scale technological solutions to major companies.

What we look for

We are seeking a dynamic and experienced Data Engineer ( Snowflake ) with strong SQL & Python skills. Experience with Snowflake Data Engineering or cloud databases in general is highly desirable, as we are transferring many data sources and pipelines to Snowflake cloud databases. Familiarity with Airflow and DBT is also advantageous.

This is a 100% remote position for candidates located in Spain.

Key Responsibilities

  • Design, develop, and maintain data pipelines and ETL processes using Snowflake.
  • Optimize Snowflake data warehouse performance and ensure data accuracy and integrity.
  • Implement Python in data engineering tasks within a commercial setting.
  • Utilize DBT for data transformation workflows.
  • Apply best practices in ETL / ELT patterns, ensure idempotency, and maintain high-quality, well-documented code.
  • Write optimized SQL code and understand different SQL engines.
  • Follow agile methodologies, participate in ceremonies, and contribute to team success.
  • Build robust data pipelines capable of handling failures and maintaining metadata.

Mandatory Requirements

  • Experience in designing, developing, and maintaining Snowflake data pipelines.
  • Proficiency in Python for data engineering.
  • Experience with DBT.
  • Strong SQL skills and understanding of data modeling principles.
  • Knowledge of agile methodologies and team collaboration.
  • Ability to build fault-tolerant data pipelines with metadata management.

Optional Skills

  • Snowflake or DBT certifications.
  • Experience with cloud platforms like AWS or Azure.
  • Experience with data governance tools such as Collibra.

What we offer

  • 23 days of annual leave plus discretionary days on December 24th and 31st.
  • Benefits including healthcare, internet, life and accident insurances.
  • Access to training platforms.
  • Career stability and growth plans.
  • Flexible payment options (12 or 14 payments / year).
  • Work-life balance initiatives including WFH, flexible hours, and summer hours.
  • Discounts through UST Club.

Additional Information

If interested, apply and we will contact you with further details. UST is committed to equal opportunity employment and encourages applications from individuals with disabilities.

Skills

Snowflake, Python, Data Engineering

Seniority Level

Mid-Senior level

Employment Type

Full-time

Job Function

Information Technology

IT Services and IT Consulting

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