Hybrid Data Analytics Engineer

Posted 3 days ago

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About the role

  • Data & Analytics Engineer building and scaling data infrastructure for hospitality and proptech company in Barcelona. Transforming data area into a centralized hub for analysis and decision-making.

Responsibilities

  • Data Platform Development: Building and improving the data infrastructure, including developing pipelines, integrating new sources, and analytical data modeling within the Data Warehouse.
  • Reporting & Governance: Creating reporting systems and analytical datasets, developing dashboards, defining/documenting business KPIs, and contributing to data organization and governance.
  • Business Analytics: Conducting ad-hoc analyses, scenario simulations (pricing, occupancy, etc.), and developing analytical tools to optimize strategic decision-making.

Requirements

  • Experience: 5+ years in roles related to Analytics Engineering, Data Analytics, or Data Engineering.
  • Education: Degree in Engineering, Mathematics, Statistics, Data Science, Computer Science, or a similar field.
  • Advanced mastery of SQL and experience using Python for data analysis and transformation.
  • Hands-on experience with Data Warehouses (Redshift, Snowflake, or BigQuery) and analytical data modeling.
  • Proven track record building data pipelines and integrating diverse information sources.
  • Proficiency with BI tools (Metabase, Looker, Tableau, or Power BI) for dashboarding.
  • Knowledge of Cloud environments, specifically AWS (S3, Lambda Functions, CloudWatch).
  • A methodical and structured mindset with analytical curiosity.
  • Ability to translate business problems into data-driven solutions and thrive in agile, small-team environments.
  • Nice to have: Experience with DBT, Airflow, or Prefect, as well as knowledge of applied statistics or predictive modeling.

Benefits

  • Dynamic Environment: Join a young, fast-growing, multidisciplinary team oriented toward product excellence.
  • Flexibility: Flexible working hours (Start: 08:00–10:00 / End: 17:00–19:00).
  • Hybrid Model: 4 days in-office / 1 day remote.
  • Holidays: 29 working days of vacation per year.
  • Perks & Wellness: Subsidized catering/meals, plus free coffee, fruit, and snacks in the office.
  • Subsidized private medical insurance.
  • Travel Benefits: 60% discounts on stays across our portfolio of establishments.

Job title

Data Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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