knokcare
knokcare
knokcare is a healthcare technology company building digital tools for more connected, accessible care. Its integrated platform links patients with healthcare providers and professionals through a Digital Front Door approach, supporting telemedicine, patient teleconsultations, remote patient monitoring, and health data analytics. Founded in 2015, knokcare combines clinical and operational intelligence to streamline care delivery, support automation, and help healthcare organizations scale services across different conditions. Its work brings together healthcare, telecommunications, and SaaS expertise, with a focus on personalized patient experiences and technology that can adapt to future AI-enabled healthcare applications.

Junior Data Engineer – Matosinhos (Hybrid)

Support reliable healthcare data pipelines, models, and quality processes as a Junior Data Engineer at knok. Help monitor ELT workflows, transform clinical data, and provide dependable insights for decision-making.

Description

  • Help maintain and continuously improve the data platform
  • Keep data accurate, reliable, and consistently current
  • Monitor daily ELT workflows and confirm pipelines complete within expected timeframes
  • Investigate data-quality concerns, pipeline failures, and inconsistencies
  • Convert raw data from multiple sources into structured, usable datasets
  • Work with healthcare data such as HL7 records, laboratory results, appointments, and admissions
  • Assist with developing and maintaining data models and transformations
  • Partner with Data Analysts and other teams to understand data needs and deliver reliable solutions
  • Explain technical topics clearly to stakeholders without technical backgrounds
  • Support documentation, testing, and ongoing improvements to data processes

Requirements

  • Degree in Computer Science, Data Science, Information Technology, Engineering, or a related discipline
  • Some academic or professional experience using Python
  • Good command of SQL and relational databases
  • Foundational knowledge of data pipelines, ETL/ELT practices, and data modelling
  • Strong analytical and problem-solving abilities
  • Careful, detail-oriented approach with a clear focus on data quality
  • Ability to investigate issues methodically and work toward structured solutions
  • Ability to explain technical concepts clearly to non-technical stakeholders
  • Strong motivation to learn and grow in Data Engineering
  • Collaborative, curious approach with a sense of ownership
  • Airflow or another orchestration tool is preferred
  • Experience with dbt is preferred
  • Experience with cloud data platforms such as BigQuery, Snowflake, or Redshift is preferred
  • Experience with version-control tools such as GitHub is preferred
  • Previous exposure to HL7 or other healthcare interoperability standards is preferred
  • Experience with, or a strong interest in, healthcare data is preferred

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