Data Engineer w/ Snowflake (Realocation to Portugal)

Aubay Portugal; Lisboa; On-site; EUR 42,000 - 65,000; Full time

Benefits offered by this job

Training Academy

Health insurance (including dental)

Job summary

Aubay Portugal is seeking a Data Engineer to join our growing team. You will build and optimize large-scale data pipelines and data architectures, with a focus on Snowflake data warehousing and scalable pipelines.

You should have 4+ years of experience, strong programming skills in Scala, Python or Java, and hands-on experience with cloud platforms and big data tools. You will work in a collaborative environment, with opportunities for training and career progression, benefiting from Aubay's

Qualifications

• Bachelor's degree in Software Engineering, Computer Engineering, or a related field.
• 4+ years of experience working as a Data Engineer (mandatory).
• Strong experience in building and optimizing big data pipelines, architectures, and datasets.
• Solid hands-on experience with Snowflake, including data warehousing, data modeling, performance optimization, and the development and management of scalable data pipelines (mandatory).
• Experience in building processes supporting data transformation, data structures, metadata, dependency management, and workload orchestration.
• Strong knowledge of cloud platforms (AWS, Azure, or GCP).
• Proficiency in Scala, Python, and Java; experience with Hadoop, Spark, Kafka, and Kinesis; plus Airflow and AWS Glue.

Skills

Programming: Scala/Python/Java

Cloud platforms

Big data mindset

Analytical thinking

Education

Bachelor's degree in Software/Computer Engineering

Tools

Snowflake

Hadoop

Spark

Kafka

Kinesis

Apache Airflow

AWS Glue

AWS

Azure

GCP

Job description

At Aubay Portugal, we work daily with some of the largest organisations across sectors such as banking, insurance, telecommunications and energy, helping to build and evolve critical systems that support millions of users. We have been in Portugal since 2007 and are part of an international group with a presence in several European countries. More than technology, we build close relationships and deliver real-impact projects.

What are we looking for?

• At Aubay, our focus is on professionals who bring both technical expertise and the right mindset:
• Bachelor's degree in Software Engineering, Computer Engineering, or a related field;
• 4+ years of experience working as a Data Engineer (mandatory);
• Strong experience in building and optimizing big data pipelines, architectures, and datasets;
• Solid hands-on experience with Snowflake, including data warehousing, data modeling, performance optimization, and the development and management of scalable data pipelines (mandatory);
• Experience in building processes supporting data transformation, data structures, metadata, dependency management, and workload orchestration;
• Strong knowledge of cloud platforms (AWS, Azure, or GCP);
• Proficiency in functional and object-oriented programming languages such as Scala, Python, and Java;
• Experience with big data technologies and distributed computing frameworks such as Hadoop, Spark, Kafka, and Kinesis (plus);
• Experience with data pipeline and workflow orchestration tools such as Apache Airflow and AWS Glue (plus);

What can we offer?

At Aubay, we invest in your development and well-being:

• Continuous growth through our Training Academy, with technical and soft skills training, mentoring, tech communities, workshops and in-person meetups;
• Close support with regular feedback and a structured career advancement model;
• Comprehensive health insurance, including dental coverage, as well as access to a mental health platform and well-being initiatives;
• Team-oriented environment, including events and initiatives to promote connection and team spirit;
• Personal and family life support, from the moment your children are born and throughout their educational path;
• Access to a language platform with conversational classes in multiple languages;
• Project-tailored work model.

What will you find here?

• A close-knit and informal environment, where direct communication is preferred and people are valued;
• Recognition of your contribution, with initiatives that celebrate meaningful moments;
• Freedom to be yourself, without unnecessary formalities;
• Teams where knowledge sharing, collaboration and joint growth are a reality.