Senior Data Engineer (Snowflake/dbt/AWS) - Portugal Full Remote

Senior Data Engineer (Snowflake/dbt/AWS) - Portugal Full Remote
ABOUT THE OPPORTUNITY
We’re hiring two Senior Data Engineers to join an international, people-first software engineering company known for high-performance systems used by millions of people worldwide. This is a hands-on role for someone who likes to build, own production systems end to end, and share what they know. You’ll work directly with senior leadership and client teams, in a culture built on empathy, self-organization and the courage to take risks. AI-assisted engineering is encouraged here, as long as it comes with solid engineering judgment.
PROJECT & CONTEXT
You’ll join a data project for a leading retail client, building and running the pipelines and platforms that move data from source systems to the warehouse, on production systems where it really matters. Your scope includes:

Building and running batch and streaming ingestion pipelines from databases, event streams and third-party APIs

Owning storage architecture across lake, lakehouse and warehouse, with a focus on partitioning, cost and query performance

Keeping pipelines observable and restartable through orchestration, automated testing, alerting and clean recovery

Applying software engineering practices to data: infrastructure as code, CI/CD, code reviews and version control

Defining data contracts with producing teams to control schema drift, and managing access, retention and lineage

Writing documentation that outlasts the engagement

Fully remote from Portugal, with occasional national or international travel (0–15%) depending on project needs.
WHAT WE’RE LOOKING FOR (Required)

5+ years of experience as a Data Engineer, with pipelines built and run in production

Advanced, production-grade SQL and Python 3

Extensive experience with ETL/ELT processes and CI/CD for data workloads

Hands-on experience with dbt

Experience with orchestration tools such as Apache Airflow, Azure Data Factory or Dagster

Extensive experience with Snowflake and Terraform

Strong understanding of data modelling methodologies: Kimball, Inmon and Data Vault

Production experience with AWS

Use of AI tooling in daily work, with the review discipline to check what it generates before it ships

Fluent English (spoken and written), comfortable working directly with client teams

NICE TO HAVE (Preferred)

Experience with a second cloud provider (GCP or Azure)

Spark/PySpark at scale and Databricks

Streaming and pub/sub brokers: Kafka, Kinesis, Pub/Sub or MQTT

Open table and file formats: Parquet, Apache Iceberg, Delta Lake

Docker, Kubernetes and GitHub Actions

Data quality frameworks in production: Great Expectations, Soda or Monte Carlo

AI data infrastructure: embedding pipelines, vector stores, feature stores

NoSQL stores (e.g. MongoDB) and marketing data sources (Google Ads, Meta, CRM APIs)

A cost engineering mindset: making pipelines cheaper and quantifying the savings

Experience in regulated environments (GDPR, access control, auditable lineage)

Compensation: €2,700 – €3200/month net, depending on experience and seniority level.
Why HumanIT people stay (4.4 Glassdoor, 89% recommend)

15th month salary

Health insurance covering your family

Birthday off

Mobility program for digital nomads

Real work-life balance

Full benefits:
What it’s really like:
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