Junior Data Engineer

GrabJobs; Lisboa; Presencial; EUR 30 000 - 45 000; Tempo integral

Resumo da oferta

A healthcare technology company in Lisbon is seeking a Junior Data Engineer. This role focuses on building and maintaining data systems, enhancing data quality and reliability, and collaborating with cross-functional teams. Ideal candidates will have a degree in IT and some knowledge of Python and SQL. It’s an opportunity to grow and innovate in a dynamic sector with a direct impact on healthcare access.

Qualificações

• Basic knowledge of Python language (OOP, unit testing, APIs, etc.).
• Familiarity with SQL and ETL pipelines.
• Understanding of dimensional modeling (e.g. Star Schema).
• Ability to communicate technical concepts to non-technical stakeholders.

Responsabilidades

• Assist in combining raw information from different sources.
• Support in analyzing and organizing raw data.
• Help monitor and test the pipelines for reliability.
• Aid in evaluating business needs and objectives.
• Collaborate with data analysts and product managers on projects.

Conhecimentos

Basic knowledge of Python

Familiarity with ETL pipelines

Familiarity with SQL

Analytical skills

Problem-solving skills

Collaborative approach

Formação académica

Degree in Computer Science, IT, or a related field

Ferramentas

Exposure to Version Control systems (e.g., GitHub, Gitlab)

Exposure to Airflow

Exposure to GCP

Exposure to Heroku

Exposure to dbt

Exposure to columnar databases (e.g., Redshift, BigQuery, Snowflake)

Descrição da oferta de emprego

Overview

Learn about knok. At knok, we dare to lead and humanize the digital transformation of healthcare. We envision a world where everyone has timely access to quality healthcare through digital technology, creating a more equal society. We genuinely believe in it and you can recognize it in every person who embraces this mission.

Through a Digital Front Door strategy, knok connects patients, providers and healthcare professionals in one place. Our API-first white-label platform enables a continuous, engaging and personalised healthcare experience for all conditions through a cutting edge Patient Journey Engine.

With regular clinical practice as our main source of knowledge, we leverage ready-to-use data to improve care automation and increase financial savings. Since 2015, we have enabled more than 2.5 million clinical interactions in over 12 countries. Our platform is scalable and AI-ready, enhancing the power of data-driven care to deliver better outcomes during all stages of life.

Are you ready to join us in revolutionizing healthcare and making a tangible impact on people\'s lives?

About the role

We are looking for a Junior Data Engineer to assist in building and maintaining data systems while constructing datasets that meet the company\'s analytical requirements. You will play a crucial role in implementing methods to enhance data reliability and quality, as well as converting raw data from various sources into consistent and machine-readable formats. If you\'re passionate about data and eager to learn, keep reading!

Responsibilities

• Assist in combining raw information from different sources.
• Support in analyzing and organizing raw data.
• Assist in building and maintaining data systems and ETL pipelines.
• Help monitor and test the pipelines for reliability.
• Aid in evaluating business needs and objectives.
• Assist in interpreting trends and patterns within the data.
• Contribute to complex data analysis and report findings.
• Explore opportunities to enhance data quality and reliability.
• Contribute to the development of analytical tools and programs.
• Collaborate with data analysts, product managers, and other stakeholders on various projects.
• Assist in monitoring the cost of data systems.

About you

To be considered for this role, here are the skills we’re looking for:

• Basic knowledge of Python language (Object-Oriented Programming, unit testing, APIs, etc).
• Familiarity with ETL pipelines.
• Familiarity with SQL.
• Exposure to Airflow is a plus.
• Exposure to Version Control systems (e.g., GitHub, Gitlab).
• Exposure to columnar databases (e.g., Redshift, BigQuery, Snowflake).
• Understanding of dimensional modeling (e.g. Star Schema).
• Analytical skills.
• Degree in Computer Science, IT, or a related field; a Master’s degree is a plus.
• Exposure to GCP is a plus.
• Exposure to Heroku is a plus.
• Exposure to dbt is a plus.
• Ability to communicate technical concepts to non-technical stakeholders effectively.
• Problem-solving skills to address data-related challenges efficiently.
• Analytical mindset for evaluating data solutions and making informed decisions.
• Collaborative approach to work effectively within a multidisciplinary team.
• Excellent time management and task prioritization skills.
• Willingness to learn and stay updated with evolving data technologies.