Descrição:
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!
Apply
If the above sounds like the kind of job opportunity you would want to get involved with, then please do not hesitate to apply here . You can also explore our content about the job market here .