Senior Data & Analytics Enabler

Dellent is a consulting company focused in System Information and Telecommunications. Our goal is to help our candidates and consultants to take a step forward in their careers through projects that meet their needs and expectations.

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!