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Senior Data Engineer (Snowflake/dbt/AWS) - Portugal Full Remote
HumanIT Digital Consulting
Source: Headcount Labs · original listing ↗
Job data: Headcount Labs, ODbL 1.0. Job descriptions belong to their employers.
Posted Oct 16
About this role
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: https://www.humanit.pt/careers/#perks What it’s really like: https://www.humanit.pt/careers/#work-at