Senior Data Engineer

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?

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 needs and translate them into data solutions;
• Explore ways to improve data 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.

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 and orchestration tools (e.g. Airflow);
• Experience with columnar databases (Redshift, BigQuery, Snowflake);
• Experience with version control (e.g. GitHub);
• Experience with dbt and cloud 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.