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

HumanIT Digital Consulting; Porto; Remote; EUR 30,000 - 36,000; Full time

Benefits offered by this job

15th month salary

Health insurance

Birthday off

Mobility program for digital nomads

Real work-life balance

Job summary

HumanIT Digital Consulting is hiring two Senior Data Engineers to join an international software engineering company known for high-performance systems used by millions of people worldwide. This hands‑on role lets you own production pipelines end to end and collaborate with senior leadership and client teams in a culture that values empathy, self‑organization and responsible risk‑taking.

You’ll build and run data ingestion pipelines, design storage architectures across lakehouse and warehouse,

Qualifications

• 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

Responsibilities

• Build and run batch and streaming ingestion pipelines from databases, event streams and third-party APIs
• Own storage architecture across lake, lakehouse and warehouse, focusing on partitioning, cost and query performance
• Keep pipelines observable and restartable through orchestration, automated testing, alerting and clean recovery
• Apply software engineering practices to data: infrastructure as code, CI/CD, code reviews and version control
• Define data contracts with producing teams to control schema drift, and manage access, retention and lineage
• Write documentation that outlasts the engagement

Skills

Data pipelines

SQL

Python

ETL/ELT

CI/CD for data

dbt

Airflow/Dagster/Azure Data Factory

Snowflake

Terraform

Data modelling

AWS

English fluency

Tools

Snowflake

dbt

AWS

Terraform

Job description

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