Junior Data Engineer

knokcare

. Support the maintenance and continuous improvement of the data platform .

Posted 10/3/2026full-timeMatosinhos • PortugalJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data platform maintenance, data quality assurance, and transformation of raw data into structured datasets. Proficient in Python, SQL, and data pipeline concepts, with a strong focus on collaboration and communication with both technical and non-technical stakeholders.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyData Pipeline ManagementData Quality AssuranceHealthcare Data Experience

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModellingETL/ELT ConceptsData TransformationAnalytical SkillsProblem-Solving Skills

Soft Skills

Attention to DetailCollaborative MindsetCuriosityCommunication SkillsOwnership

Tools & Technologies

AirflowDbtBigQuerySnowflakeRedshiftGitHub

Industry Keywords

HL7Healthcare Interoperability StandardsData QualityData EngineeringData Analytics

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryCloudETLPythonSQL

About the role

Key responsibilities & impact

Support the maintenance and continuous improvement of the data platform
Ensure data remains accurate, reliable and consistently up to date
Monitor daily ELT processes and ensure pipelines run successfully within expected timeframes
Identify and investigate data quality issues, pipeline failures and inconsistencies
Transform raw data from different sources into structured and usable datasets
Work with healthcare data, including HL7, laboratory results, appointments and admissions
Support development and maintenance of data models and transformations
Collaborate with Data Analysts and other teams to understand data needs and provide reliable solutions
Communicate technical topics clearly to non-technical stakeholders
Contribute to documentation, testing and continuous improvement of data processes

Requirements

What you’ll need

Degree in Computer Science, Data Science, Information Technology, Engineering or a related field
Initial academic or professional experience with Python
Good knowledge of SQL and relational databases
Basic understanding of data pipelines, ETL/ELT concepts and data modelling
Strong analytical and problem-solving skills
Attention to detail and a strong focus on data quality
Ability to investigate problems and work through them in a structured way
Ability to communicate technical concepts clearly to non-technical stakeholders
Strong willingness to learn and develop Data Engineering skills
Collaborative mindset, curiosity and sense of ownership
Preferred: previous experience with orchestration tools such as Airflow
Preferred: experience with dbt
Preferred: experience with cloud data platforms such as BigQuery, Snowflake or Redshift
Preferred: experience with version control tools such as GitHub
Preferred: previous exposure to HL7 or other healthcare interoperability standards
Preferred: experience or a strong interest in healthcare data