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

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.

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.

• 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

• 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:

Originally posted on Himalayas