Senior Data Engineer

Knok; Viseu; On-site; EUR 65,000 - 90,000; Full time

Job summary

knok is seeking a Senior Data Engineer to design robust, scalable data systems and pipelines. You will transform data into valuable insights to support decision-making across the organisation.

Key responsibilities include combining data from multiple sources, building and maintaining ETL workflows, and ensuring data quality and reliability across platforms. You will collaborate with analysts, product managers and other stakeholders on cross-functional projects.

Qualifications

• Degree in Computer Science, IT or similar (Master's a plus).
• Proven experience as a Data Engineer or in a similar role.
• Proficiency in Python (OOP, unit testing, APIs).
• Strong understanding of ETL processes and data modelling.

Responsibilities

• Combine raw data from multiple sources into consistent and machine-readable formats.
• Design, build and maintain data systems and ETL pipelines.
• Monitor, test and optimise data flows.
• Analyse large datasets to uncover meaningful insights.
• Translate business needs into data solutions.
• Improve data quality, accessibility and reliability.
• Develop and maintain analytical tools and reporting frameworks.
• Collaborate with analysts and stakeholders on cross-functional projects.
• Monitor cost and efficiency of data infrastructure.

Skills

Python

ETL

Data modelling

SQL

Communication

Time management

Teamwork

Analytical thinking

Education

Bachelor's in Computer Science/IT

Tools

Airflow

GitHub

dbt

AWS

Heroku

Job description

Learn about knok At knok, we dare to lead and humanise 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 recognise 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 revolutionising healthcare and making a tangible impact on people's lives?

About the role

We are looking for a Senior Data Engineer to join our team and help us design robust, scalable and high-quality data systems. You'll play a key role in building pipelines, transforming data into valuable insights, and ensuring we have the right foundations to support decision-making across the organisation. If this makes sense, keep reading!

As a Senior Data Engineer, you will:

• Combine raw data from multiple sources into consistent and machine-readable formats,
• Design, build and maintain data systems and ETL pipelines;
• Monitor, test and optimise data flows;
• Analyse large datasets and uncover meaningful trends and insights;
• Evaluate business needsand translate them into data solutions;
• Explore ways to improvedata quality, accessibility and reliability;
• Develop and maintain analytical tools and reporting frameworks;
• Collaborate with analysts, product managers and other stakeholders on cross-functional projects;
• Monitor the cost and efficiency of data infrastructure.

About you

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

• Degree in Computer Science, IT or similar (Master's is a plus);
• Proven experience as a Data Engineer or in a similar role;
• Proficiency in Python (OOP, unit testing, APIs, etc.);
• Solid understanding of ETL processes and data modelling;
• Experience with SQL andorchestration tools (e.G. Airflow);
• Experience with columnar databases (Redshift, Big Query, Snowflake);
• Experience with versioncontrol (e.G. Git Hub);
• Experience with dbt andcloud services (AWS, Heroku) is a plus;
• Strong analytical and problem-solving mindset;
• Ability to communicate technical concepts to non-technical stakeholders;
• Excellent time management and task prioritisation;
• Team-oriented, curious and eager to learn.