
51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🌐 Web 3
☁️ SaaS
Artificial Intelligence • Web 3 • SaaS
Genesis Digital Solutions is a Lisbon-based digital transformation and IT consulting firm that helps organizations deploy AI-driven solutions, build digital products, and implement Web3 and digital identity technologies. The company offers services in artificial intelligence, data & AI, digital product development, and strategic IT consulting, and provides a SaaS AI platform that accelerates generative AI adoption with no-code, scalable, and customizable integrations. Genesis serves enterprise and government clients across sectors such as healthcare and public services.
🕒 January 7
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51 - 200 employees
Founded 2018
🤖 Artificial Intelligence
🌐 Web 3
☁️ SaaS
Artificial Intelligence • Web 3 • SaaS
Genesis Digital Solutions is a Lisbon-based digital transformation and IT consulting firm that helps organizations deploy AI-driven solutions, build digital products, and implement Web3 and digital identity technologies. The company offers services in artificial intelligence, data & AI, digital product development, and strategic IT consulting, and provides a SaaS AI platform that accelerates generative AI adoption with no-code, scalable, and customizable integrations. Genesis serves enterprise and government clients across sectors such as healthcare and public services.
• 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.
• 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.
• Health and life insurance • 25 days of annual leave • Support for professional development, training, and certifications • Flexible working model and collaborative environment
Apply Now🕒 January 6
Senior Data Engineer architecting scalable lakehouse and migrating workloads to Apache Iceberg for healthcare AI solutions. Collaborating with cross-functional teams to ensure data-driven decisions.
Airflow
BigQuery
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PySpark
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SQL
🕒 December 19, 2025
Senior Data Engineer at Feedzai focusing on scaling big data processing and stability of systems. Collaborating with teams on data science frameworks and ensuring efficient performance of Spark jobs.
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ETL
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Spark
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🕒 October 3, 2025
Data Engineer focusing on improving data pipelines for Veeva Link, a life sciences cloud solution. Join a mission-driven organization supporting rapid therapy development.
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AWS
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