UST is looking for top talent to join our team! More details: UST is a multinational company based in North America, certified as a Top Employer and Great Place to Work, with over 35,000 employees worldwide and presence in more than 35 countries. We are leaders in digital technology services, providing large-scale technological solutions to major companies. What are we looking for? We are seeking a Senior Data Engineer to work closely with one of our main clients in the financial sector. Main tasks and responsibilities: Collaborate with business and technology stakeholders to understand needs and design optimal data solutions, fostering a data-driven culture. Lead strategic prototyping workshops to clarify objectives and collaborate across Global Technology Shared Services to implement solutions. Differentiate approaches for building self-service BI versus corporate BI, including data source and ETL choices. Enhance reporting efficiency by standardizing practices and training Power BI report designers and consumers. Act as a Power BI evangelist, staying updated on technology trends and use cases. Contribute to the Power Platform center of excellence to establish governance structures. Assess adoption and satisfaction, working with product teams and UX specialists. Be a change ambassador, collaborating creatively at all levels. Qualifications: Over 10 years of experience as a Data Engineer, skilled in data analysis, modeling, and ETL design. Expertise in SQL, performance tuning, and handling large datasets. Understanding of enterprise big data architectures. Experience with Azure Synapse, Azure SQL Database, SSAS, Data Lakes, Data Factory, Power Platform solutions, and PowerBI. Knowledge of the full Software Development Lifecycle, including Azure DevOps and Visual Studio. Understanding security models within data estates. Proficiency in English (C1 level). Nice to have: Experience in reporting governance frameworks and adoption strategies. Experience with SAFe practices. Familiarity with data interfaces like APIs, Snowflake, and various file formats. Understanding of Data Quality approaches. What we offer: 23 days of annual leave plus discretionary days. Benefits including healthcare, teleworking, life and accident insurances. Flexible compensation programs. Access to training platforms. Career stability and development plans. Referral bonuses. Flexible payment options and work-life balance measures. Discounts on gym and platform access. If interested, apply now! We are committed to equal opportunity employment and welcome applicants with disabilities. #J-18808-Ljbffr