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: Originally posted on Himalayas