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Data Engineer

Indeed
Full-time
Onsite
No experience limit
No degree limit
PV49+C7 Lisbon, Portugal
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Description

Summary: We are seeking a Data Engineer to transform complex data into trusted, well-structured information to enable analytics and AI across a digital ecosystem. Highlights: 1. Design and evolve scalable data pipelines for analytics and AI workloads 2. Build and maintain high-quality Power BI models and curated datasets 3. Collaborate with AI/ML teams to deliver structured, feature-ready datasets Lisbon, Portugal * Full\-time * Application and Product Development * Hybrid * Tieto Group Job Description We are looking for a **Data Engineer** to turn complex and fragmented data into trusted, well\-structured information that enables analytics and AI across our digital ecosystem. In this role, you will design and evolve scalable data pipelines, build semantic and analytical models for Power BI, and ensure data is consistent, reliable, and well\-governed across Microsoft Azure and Fabric environments. You will work closely with AI and ML teams to deliver high\-quality datasets, support feature engineering, and improve how production data is collected, interpreted, and used. This position is ideal for someone who enjoys shaping the foundation of data\-driven products—transforming raw information into meaningful insights that directly impact decision\-making and AI capabilities. **Responsibilities** * Design and evolve robust ETL/ELT pipelines for analytics and AI workloads * Build and maintain high\-quality Power BI models and curated datasets * Define and enforce data quality, governance, and consistency standards * Collaborate with AI/ML teams to deliver structured, feature\-ready datasets * Investigate production data to identify noise, inefficiencies, and optimization opportunities * Contribute to data observability practices and help define meaningful data signals * Work cross\-functionally with Data, AI, DevOps, Testing, and Platform teams * Maintain and improve data workflows within Azure and Microsoft Fabric ecosystems **Qualifications** * 3–5 years of experience in Data Engineering, Analytics Engineering, or similar roles * Strong hands\-on experience with Power BI and dimensional/data modeling * Solid understanding of ETL/ELT architectures and modern data pipelines * Experience with Microsoft Azure data services and cloud\-based data platforms * Strong SQL skills and proficiency in Python or similar scripting languages * Experience working with production\-grade datasets and operational environments * Hands\-on experience with Microsoft Fabric * Exposure to AI/ML projects from a data provisioning perspective * Understanding of data quality, lineage, or observability concepts * Familiarity with CI/CD practices applied to data workflows * Azure or Power BI certifications are a plus Additional Information At Tieto, we believe in the power of diversity, equity, and inclusion. We encourage applicants of all backgrounds, genders (m/f/d), and walks of life to join our team, as we believe that this fosters an inspiring workplace and fuels innovation. Our commitment to openness, trust, and diversity is at the heart of our mission to create digital futures that benefit businesses, societies, and humanity. Diversity, equity and inclusion (tietoevry.com) **We are Tieto \- A leading software and technology consulting company** We provide customers across different industries with mission\-critical solutions through our specialized software businesses Tieto Caretech, Tieto Banktech and Tieto Indtech as well as Tieto Tech Consulting business. Our around 14 000 talented vertical software, design, cloud and AI experts are dedicated to empowering our customers to succeed and innovate with latest technology. Tieto’s annual revenue is approximately EUR 2 billion. The company’s shares are listed on the NASDAQ exchange in Helsinki and Stockholm, as well as on Oslo Børs.

Source:  indeed View original post
João Santos
Indeed · HR

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