Data Engineer - Real-Time Pipelines & AI Solutions

Diconium; Lisboa; Híbrido; EUR 70 000 - 100 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Hybrid work

Language courses

Health offers

Pension plan

Resumo da oferta

Diconium is a global digital business transformation company hiring for a data engineering role in Lisbon. You will gather and process data, build and optimize data pipelines, and support stakeholders in making technology decisions.

The role emphasizes hybrid work and collaboration with cross-functional teams to deliver innovative data solutions. Ideal candidates have 5+ years of experience, strong Python and AWS skills, and fluency in English.

Qualificações

• Proficient in Python, scripting (Bash/Python/Go/Ruby), ETL, Spark and AWS.
• Strong communication skills, CI/CD, Data Warehouse and Data Architecture.
• Streaming processing (Kafka, EventHub, etc.) and SQL.
• Minimum 5+ years of relevant experience.
• English-speaking.
• Suitable degree.

Responsabilidades

• Gather and process data using batch and real-time data processing frameworks.
• Monitor and improve the performance of data pipelines.
• Work on fast-paced and innovative projects delivering solutions for customers.
• Support different stakeholders (internal/external) in making technology decisions.
• Design, implement, and manage data pipelines for clients (internal/external).
• Assist customers in obtaining data easily to develop intelligent data products.

Conhecimentos

Python

ETL

Spark

AWS

CI/CD

Data Warehouse

Data Architecture

SQL

Kafka

EventHub

Scripting Bash

Go

Ruby

English

Formação académica

Bachelor's degree or equivalent

Descrição da oferta de emprego

Diconium is a global digital business transformation company hiring for a data engineering role in Lisbon. You will gather and process data, build and optimize data pipelines, and support stakeholders in making technology decisions.

The role emphasizes hybrid work and collaboration with cross-functional teams to deliver innovative data solutions. Ideal candidates have 5+ years of experience, strong Python and AWS skills, and fluency in English.