Data Engineer (Middle) ID50589

AgileEngine

Ponta Delgada

Híbrido

EUR 47 660 - 64 991

Tempo parcial

14 dias+

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Vantagens oferecidas por esta oferta de emprego

Professional growth: Mentorship and personalized roadmaps
Competitive compensation with budgets for education and fitness
Exciting projects with top product companies
Flexible schedule with remote and office options

Resumo da oferta

A technology-driven software company in Portugal is looking for a Mid-Level Data Engineer for a focused 2–3 month engagement. This role emphasizes the delivery of impactful data solutions through dependable data pipelines using Python and SQL, with Airflow orchestration. Candidates should possess over 3 years of experience, strong coding skills, and an ability to work independently on project-based tasks. The position offers competitive USD-based compensation and the flexibility to work both remotely and in the office.

Qualificações

  • 3+ years of experience as a Data Engineer or similar role.
  • Strong Python and SQL skills, with a clear focus on readability and documentation.
  • Hands-on experience with Airflow is essential.
  • Solid understanding of columnar databases and analytical data models.
  • Ability to work independently and deliver results in short-term engagements.
  • Upper-intermediate English level.

Responsabilidades

  • Design, implement, and maintain data pipelines using Python and SQL.
  • Work with Airflow to orchestrate and monitor data workflows.
  • Write well-documented code (Python and SQL).
  • Collaborate with stakeholders to understand data requirements.
  • Ensure reliability and performance across pipelines and transformations.
  • Contribute to short-term deliverables with ownership.

Conhecimentos

Python
SQL
Airflow
Data Pipeline Design
Analytical Data Models

Ferramentas

AWS
Databricks
ClickHouse
Vertica

Descrição da oferta de emprego

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.

WHY JOIN US

If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you!

ABOUT THE ROLE

We are looking for a Mid-Level Data Engineer for a focused 2–3 month engagement to deliver high-impact, short-term data solutions through reliable, well-documented pipelines. This role centers on building clean Python and SQL workflows with Airflow, supporting fast-moving projects that require autonomy, precision, and strong ownership. It stands out for its delivery-driven culture, independent working model, and the opportunity to make immediate, measurable impact in a project-based data environment.

WHAT YOU WILL DO
  • Design, implement, and maintain data pipelines using Python and SQL;
  • Work with Airflow to orchestrate and monitor data workflows;
  • Write clean, readable, and well-documented code (Python and SQL);
  • Collaborate with stakeholders to understand data requirements and translate them into robust implementations;
  • Ensure data reliability, performance, and clarity across pipelines and transformations;
  • Contribute to short-term deliverables with a strong sense of ownership and urgency.
MUST HAVES
  • 3+ years of experience as a Data Engineer or similar role;
  • Strong Python and SQL skills, with a clear focus on code readability and documentation;
  • Hands‑on experience with Airflow;
  • Solid understanding of columnar databases and analytical data models;
  • High productivity without reliance on AI‑assisted coding tools;
  • Ability to work independently and deliver results in short‑term engagements;
  • Upper‑intermediate English level.
NICE TO HAVES
  • Experience with AWS data stack components;
  • Exposure to Databricks, ClickHouse, or Vertica;
  • Background working on short‑term or project‑based data initiatives.
PERKS AND BENEFITS
  • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
  • Competitive compensation: USD‑based pay with education, fitness, and team activity budgets.
  • Exciting projects: Modern solutions with Fortune 500 and top product companies.
  • Flextime: Flexible schedule with remote and office options.
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