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Senior Data Engineer dbt

Remote, Madrid·Full-time·Added yesterday (last checked 13 Nov)

Our summary

Hours
Jornada intensiva on Fridays and in summer
Work mode
Remote (Madrid)
Contract
Permanent, full-time hours
Spanish
Expected (ad in Spanish)
Experience
Senior level
Benefits
Private health insurance, flexible pay plan, meal vouchers, gym access

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Skills

Nice to have

This job advert was originally written in Spanish.

Requirements

What we're looking for

  • Have designed, deployed and maintained dbt projects in production.

  • Master advanced SQL and be proficient with incremental models, tests and macros.

  • Have the autonomy to investigate processes with incomplete documentation, propose solutions and explain technical decisions to the team.

Pay & benefits

What you'll get

  • Immediate incorporation to a leading company in the IT sector with a high degree of expertise in the Data & AI area where we are in the midst of an expansion process.

  • Job stability through an indefinite contract with wide opportunities for professional development and growth within the company.

  • 100% remote working modality from anywhere in Spain.

  • Possibility of flexible working hours, with intensive shifts on Fridays and in summer.

  • Very competitive remuneration package in accordance with the market and the candidate's profile.

  • Flexible remuneration plans (restaurant card, transport card and nursery card).

  • Medical insurance and WellHub, focused on physical and mental well-being.

  • Unlimited training plans through the Udemy platform, free official certifications with all our partners (Azure, AWS, GCP, Snowflake, Databricks,...) and free English training on the GoFluent platform.

  • Special discount portal for employees.

  • Good working environment and a very collaborative setting.

Discover this offer and many more on our Careers Page. 🚀

The role

At Logicalis Spain we are looking for a Senior dbt Data Engineer. The Logicalis Data & Analytics team works with national and international clients, carrying out important projects in data engineering, artificial intelligence and advanced analytics, data strategy, governance, integration and architecture, covering the entire data lifecycle.

What you'll do

  • Analyze current processes and decide how to bring their business rules to dbt.

  • Design models, choose loading strategies and resolve performance issues.

  • Compare the results of both platforms, investigate discrepancies and prepare validations for the move to production.

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