Data Scientist/Engineer

This is a remote position. Meet Genesis Genesis Digital Solutions is a consulting and technology company that helps organizations turn ideas into measurable business impact through digital expertise and AI innovation. Founded in 2018, we operate across Portugal and the United Arab Emirates, supporting clients in multiple industries with intelligent, scalable, and secure solutions. We combine strategy, engineering, and emerging technologies such as AI, Data, Web3, and Digital Product Development to drive transformation end to end. Our focus is on building practical, human-centered solutions and long-term partnerships that enable sustainable growth, innovation, and real-world results. Your Next Challenge Join our client’s team as a Mid-Level Data Scientist/Engineer and help transform data into meaningful insights that drive business decisions. You will work across data engineering, analytics, and visualization, building scalable data solutions and interactive dashboards while collaborating with multidisciplinary teams in a data-driven environment. What You’ll Work On Developing and maintaining data pipelines to collect, process, and prepare data for analytics and reporting. Analyzing large datasets to identify trends, patterns, and business opportunities. Designing, developing, and maintaining interactive dashboards and reports using Power BI. Creating data models and optimizing datasets to improve reporting performance and usability. Writing SQL queries to extract, transform, and analyze data from multiple sources. Collaborating with business stakeholders to translate requirements into analytical solutions. Supporting data quality initiatives and ensuring the accuracy and reliability of business data. Contributing to continuous improvements in data architecture, reporting processes, and analytics solutions. What We’re Looking For 3–4 years of professional experience as a Data Scientist, Data Engineer, or in a similar data-focused role. Strong hands-on experience with Power BI, including dashboard development, data modeling, and report creation. Good SQL skills for data extraction and analysis. Experience with Python for data processing, automation, or analytics is valued. Understanding of ETL processes and data integration concepts. Strong analytical mindset with excellent problem-solving skills. Ability to communicate technical concepts to business stakeholders. Experience working in collaborative and Agile environments. Good English, B2. Remote project. Bonus Points Experience with Azure Data Platform services or Microsoft Fabric. Knowledge of DAX and Power Query (M). Experience with Machine Learning, predictive analytics, or statistical modeling. Familiarity with cloud-based data platforms and modern data architectures. Why You’ll Stay A workplace that values innovation, collaboration, and continuous learning Opportunity to work on impactful data and analytics projects Flexible working model and collaborative environment Support for professional development, training, and certifications Health and life insurance 25 days of annual leave