Senior Data Engineer — Scale Data Pipelines for Impact

knokcare; Matosinhos; Presencial; EUR 55 000 - 90 000; Tempo integral

Resumo da oferta

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

You will collaborate with analysts, product managers and stakeholders, implement ETL workflows using Python, Airflow and dbt, and work with Redshift, BigQuery or Snowflake in a cloud environment. This role offers the chance to influence data quality and drive data-driven decisions at scale.

Qualificações

• Degree in Computer Science, IT or similar.
• Proven experience as a Data Engineer or similar role.
• Proficiency in Python (OOP, testing, APIs).
• Solid ETL processes and data modelling knowledge.
• Experience with SQL and orchestration tools (Airflow).
• Experience with columnar databases (Redshift, BigQuery, Snowflake).
• Experience with version control (GitHub).
• dbt and cloud services (AWS, Heroku) are a plus.

Responsabilidades

• 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 to uncover trends and insights.
• Translate business needs into data solutions.
• Improve data quality, accessibility and reliability.
• Develop and maintain analytical tools and reporting frameworks.
• Collaborate with analysts, product managers and stakeholders.
• Monitor cost and efficiency of data infrastructure.

Conhecimentos

Python

ETL processes

SQL

Airflow

Data modelling

BigQuery

Redshift

Snowflake

dbt

GitHub

AWS

Formação académica

Bachelor's degree in CS/IT

Master's degree (preferred)

Ferramentas

Airflow

GitHub

dbt

AWS

BigQuery

Redshift

Snowflake

Descrição da oferta de emprego

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

You will collaborate with analysts, product managers and stakeholders, implement ETL workflows using Python, Airflow and dbt, and work with Redshift, BigQuery or Snowflake in a cloud environment. This role offers the chance to influence data quality and drive data-driven decisions at scale.