ML Engineer: Build Production Data Pipelines & MLOps

Match Profiler; Lisboa; Presencial; EUR 45 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Onboarding support

Continuous feedback

Collaborative team

Professional development

Discount network with health, travel,

Resumo da oferta

Match Profiler, an Information Systems consultancy, is strengthening its team with a profile focused on data engineering and production pipelines.

You will work with Python, PySpark, SQL, Airflow, and CI/CD, on GCP technologies like BigQuery and Dataproc, aiming for scalable data platforms and ML workflows.

Join a close-knit, supportive environment with onboarding, continuous feedback, and opportunities for personal growth.

Qualificações

• Degree in Computer Science, Engineering, Mathematics, Statistics or related quantitative field.
• Three+ years of experience building and operating production data pipelines.
• Proficiency in Python and/or PySpark, and SQL.
• Experience with Airflow and CI/CD practices.
• Understanding of distributed computing and large-scale data processing.
• Experience with data modelling, testing, validation and observability.
• Familiarity with ML workflows and interest in Data Science.
• Experience with GCP, BigQuery, Dataproc, data mesh, MLOps, data contracts or data quality frameworks is a plus.
• Fluency in English; good communication and team spirit.

Conhecimentos

Python

PySpark

SQL

Distributed computing

Data modelling

Observability

English fluency

Communication

Team spirit

Time management

Proactivity

Formação académica

Bachelor's degree in Computer Science/Engineering/Math/Statistics or related quantitative field

Ferramentas

Airflow

CI/CD

GCP

BigQuery

Dataproc

Data mesh

MLOps

Data quality frameworks

Descrição da oferta de emprego

Match Profiler, an Information Systems consultancy, is strengthening its team with a profile focused on data engineering and production pipelines.

You will work with Python, PySpark, SQL, Airflow, and CI/CD, on GCP technologies like BigQuery and Dataproc, aiming for scalable data platforms and ML workflows.

Join a close-knit, supportive environment with onboarding, continuous feedback, and opportunities for personal growth.