Software Houses

Senior Data & Analytics Enabler

Being part of a team whose mission is to transform the way software development is done, sounds like something you'd like to be a part of? In this project you will be able to do that in a relaxed, dynamic and multicultural team, with presence in different countries.

We are looking for a Senior Data & Analytics Enabler for a project in Lisbon area to work remotely.

Requirements:

  • Bachelor or Master's Degree in Data Engineering, Computer Science, Mathematics, Data Science, or a related field;
  • 5+ years of experience in Data Engineering, Analytics, or BI roles, with strong exposure to data operations, governance, or enablement;
  • Proven adoption of a business-driven perspective applied to Data analytics;
  • Experience with SQL, dimensional data modeling, and ETL/data pipeline development;
  • Proficiency in BI and visualization tools (Power BI preferred), with understanding of data visualization governance and scalability;
  • Hands-on experience with data and analytics platforms (e.g., Snowflake, Azure, Databricks, or similar);
  • Experience contributing to or leading the implementation of metrics frameworks (e.g., V2MOM, OKRs, KPI-based models);
  • Solid understanding of DataOps and AnalyticsOps principles, and how to apply them to real-world analytics delivery;
  • Demonstrated ability to define, implement, and enforce analytics governance standards across multidisciplinary teams;
  • Excellent communication and collaboration skills, with the ability to translate business and operational needs into sustainable technical solutions;
  • A resilient, persistent, and motivated attitude — able to lead by example and influence through credibility and consistency;
  • Experience managing by influence across data teams, fostering alignment and shared accountability;
  • Good in English, written and spoken;

 Plus:

  • Experience implementing DataOps, AnalyticsOps and MLOps practices in real environments;
  • Knowledge of data governance frameworks, cataloging, or metadata management;
  • Proven contribution to Self-Service Analytics or Data Enablement initiatives;
  • Familiarity with metrics frameworks (e.g., OKRs, KPI models, V2MOM);
  • Hands-on experience with Python or scripting for automation and data quality monitoring.

What we offer?

  • Health insurance;
  • A personalized training plan, with a budget to spend on the training and technical books you find necessary;
  • Constant feedback so you can grow professionally;
  • Remote onboarding process;
  • Team events every semester so you can live new adventures;
  • Culture of proximity and transparency. Your ideas and needs are heard and valued by us!