Senior Data Engineer: Architect Scalable Pipelines & Insights

knok

Matosinhos

On-site

EUR 60,000 - 80,000

Full time

14 days+

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Job summary

knok is hiring a Senior Data Engineer to design robust, scalable data systems and to build pipelines that transform raw data into valuable insights for decision-making across the organisation. You will implement, monitor and optimize ETL processes, ensuring data quality and availability to enable proactive clinical and operational analytics.

The role requires strong Python skills, experience with SQL, Airflow and modern cloud data platforms (Redshift, BigQuery, Snowflake) and a pragmatic,

Qualifications

Degree in Computer Science, IT or similar.
Proven experience as a Data Engineer or in a similar role.
Proficiency in Python (OOP, APIs, etc).
Solid understanding of ETL processes and data modelling.
Experience with SQL and orchestration tools (Airflow).
Experience with columnar databases (Redshift, BigQuery, Snowflake).
Experience with version control (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.

Responsibilities

Combine raw data from multiple sources into consistent 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.