Data Engineer

Evotym; Portugal; Teletrabalho; EUR 55 000 - 75 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary

Social benefits

High-impact role in scaling fintech

Resumo da oferta

Evotym in Portugal is seeking a Data Engineer to build scalable data pipelines and maintain data infrastructure in a fintech context. You will work with Python and SQL, design ETL/ELT processes, and own data lakes, ensuring data accuracy and quality across multiple sources.

The role emphasizes modern data tooling such as Apache Spark, Kafka, Airflow, and Docker, with opportunities to influence architectural decisions and drive efficiency gains.

Qualificações

• Strong proficiency in Python and advanced SQL.
• Experience designing scalable data pipelines and processing solutions.
• Hands-on with ETL/ELT, ingestion, transformation and orchestration.
• Practical experience with Spark for large-scale processing.
• Experience with Kafka and event-driven pipelines.
• Knowledge of AWS cloud services and cloud data infrastructure.
• Familiarity with Airflow for workflow orchestration.

Responsabilidades

• Develop, optimize, and maintain ETL pipelines and data ingestion processes.
• Own data lakes maintenance and documentation.
• Transform complex data structures into machine-readable formats.
• Design and maintain databases and data infrastructure.
• Collaborate with departments to verify data quality and relevance.
• Identify opportunities to improve reliability and efficiency of data processes.
• Work with cross-functional teams to ensure data accuracy.

Conhecimentos

Python

SQL

ETL/ELT

Data pipelines

Apache Spark

Kafka

Airflow

AWS

Data modeling

Git

Data architecture

Docker

Ferramentas

Spark

Kafka

Airflow

Docker

AWS

Descrição da oferta de emprego

About the Client

Our client is a provider of online payment processing solutions, focusing on a range of services including payment gateway services, global payment processing, and open banking. They serve online businesses across various sectors, supporting multiple currencies and payment methods.

Role Overview

As a Data Engineer, you will have the opportunity to work with cutting-edge technologies and make a significant impact on data processes within the fintech sector. This role involves developing scalable data pipelines, optimizing data infrastructure, and collaborating with cross-functional teams to ensure data accuracy and quality.

Key Responsibilities

• Work with various data sources and integrate them into internal systems.
• Develop, optimize, and maintain ETL pipelines and data ingestion processes.
• Take ownership of data lakes, including their maintenance and documentation.
• Transform complex data structures into machine-readable formats.
• Design and maintain databases and data infrastructure.
• Work closely with other departments to verify the relevance, quality, and accuracy of data.
• Identify opportunities to improve the reliability and efficiency of existing data processes.

Requirements

• Strong proficiency in Python and advanced SQL.
• Hands-on experience designing, building, and maintaining scalable data pipelines and data processing solutions.
• Strong experience with ETL/ELT processes, including data ingestion, transformation, integration, and orchestration.
• Practical experience with Apache Spark for large-scale data processing.
• Experience with Apache Kafka and event-driven/streaming data pipelines.
• Hands-on experience with database design, data modeling, optimization, and performance tuning.
• Practical experience with AWS cloud services and cloud-based data infrastructure.
• Experience with Apache Airflow for workflow orchestration and scheduling.
• Practical experience with Docker and containerized environments.
• Strong knowledge of Git and modern software development workflows.
• Solid understanding of data architecture, data quality, reliability, scalability, and data engineering best practices.
• Ability to write clean, efficient, testable, and maintainable code.
• Strong analytical, problem-solving, and critical-thinking skills with excellent attention to detail.
• Ability to work independently, prioritize effectively, and manage multiple tasks in a fast-paced environment.
• Languages: English, Russian
• Experience in fintech

Key Soft Skills

• Strong analytical and problem-solving skills with excellent attention to detail.
• Ownership mindset, proactivity, and ability to work independently and manage priorities.
• Strong communication and collaboration skills with the ability to work effectively across teams.

What We Offer

• Competitive salary aligned with experience
• Collaborative and transparent team culture
• High-impact role in a scaling fintech company
• Recognition of personal milestones and achievements
• Social benefits