Full-time|On-site|Matosinhos, Porto District, Portugal Join the Revolution in Healthcare at knokAt knok, we are pioneers in humanizing the digital transformation of healthcare. Our vision is to create a world where everyone has timely access to quality healthcare through innovative digital technology, fostering a more equitable society. Our commitment to this mission is evident in every team member who shares our passion.With our Digital Front Door strategy, knok unites patients, providers, and healthcare professionals in a seamless experience. Our API-first, white-label platform delivers a continuous, engaging, and personalized healthcare journey for all conditions through our advanced Patient Journey Engine.Utilizing insights from regular clinical practice, we harness readily available data to enhance care automation and drive financial efficiencies. Since our inception in 2015, we have facilitated over 2.5 million clinical interactions across more than 12 countries. Our scalable platform is AI-ready, empowering data-driven care to improve outcomes at every stage of life.Are you prepared to join us in transforming healthcare and making a real difference in the lives of many?About the RoleWe are seeking a Senior Data Engineer to join our dynamic team. In this role, you will be instrumental in designing robust, scalable, and high-quality data systems. You will build data pipelines, convert data into actionable insights, and ensure that the organization’s decision-making is supported by solid data foundations. If this resonates with you, we would love to hear more!Integrate raw data from diverse sources into consistent and machine-readable formats.Design, build, and maintain data systems and ETL pipelines.Monitor, test, and optimize data flows for performance.Analyze large datasets to discover significant trends and insights.Assess business needs and translate them into effective data solutions.Identify opportunities to enhance data quality, accessibility, and reliability.Create and sustain analytical tools and reporting frameworks.Collaborate with analysts, product managers, and other stakeholders across various projects.Oversee the cost and efficiency of data infrastructure.About YouTo be a successful candidate for this role, we are looking for:A degree in Computer Science, IT, or a related field (Master’s degree is a plus).A proven track record as a Data Engineer or in a comparable position.Expertise in Python (OOP, unit testing, APIs, etc.).Strong understanding of ETL processes and data modeling.Familiarity with SQL and orchestration tools (e.g., Airflow).Experience with columnar databases (e.g., Redshift, BigQuery, Snowflake).Proficient in version control (e.g., GitHub).Experience with dbt and cloud services (AWS, Heroku) is advantageous.A solid analytical mindset and problem-solving skills.Strong communication skills and the ability to work collaboratively.
Jan 8, 2026