Senior Data

Decskill, founded in 2014 as an IT Consulting Company, places paramount importance on its greatest asset: its people. Our main mission is to deliver value through knowledge and talent, and we achieve this by fostering a culture of excellence and investing in the development and well-being of our people. With over 600 dedicated professionals and offices in Lisbon, Porto, Madrid, and Luxembourg, Decskill operates across three core areas: DECSKILL TALENT : We believe that our people are key to our success. Through Decskill Talent, we empower our team to embrace the digital transformation challenges of our clients. We collaborate with clients to drive innovation, ensuring project success and business growth. DECSKILL BOOST : Equipping our team with the latest tools and methodologies, we optimize Time-to-Market and deliver innovative solutions exceeding client expectations. DECSKILL CONNECT : Our team collaborates closely with clients to implement and manage IT infrastructures that generate long-term value. At Decskill, we believe that by nurturing and empowering our people to confront the challenges of digital transformation, we create value not only for our clients but also for our entire ecosystem, fostering a digital community dedicated to growth and progress. We are looking for an Java Developer Responsabilities: Design, develop, and maintain shared data and analytics solutions — including data models, pipelines, reporting layers, automation, and reusable components that enable scalable analytics delivery. Lead the implementation, governance, and evolution of strategic Metrics Frameworks, ensuring business metrics are consistent, reliable, and aligned with organizational goals. Define and enforce best practices for analytics development, including version control, testing, documentation, and quality assurance, to promote efficiency and analytics rigor. Drive operational excellence across data teams through process standardization, automation, and proactive monitoring of data and analytics quality and performance. Promote and support the adoption of DataOps and AnalyticsOps methodologies, enabling better collaboration and delivery efficiency across Data Engineering, Data Science, and Analytics teams. Collaborate with stakeholders to translate business and operational requirements into robust, sustainable, and well-governed technical solutions. Act as a technical and governance reference for analytics operations, contributing to a strong, consistent data culture and enabling data and analytics practices. 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. Experience implementing DataOps, AnalyticsOps and MLOps practices in real environments. Plus. Knowledge of data governance frameworks, cataloging, or metadata management. Plus Proven contribution to Self-Service Analytics or Data Enablement initiatives. Plus Familiarity with metrics frameworks (e.g., OKRs, KPI models, V2MOM). Plus Hands-on experience with Python or scripting for automation and data quality monitoring. Plus If you’re interested in this job, please send your CV to with reference “CA/Data". Thank You