Senior Data Engineer – Snowflake, dbt, AWS

Job not on LinkedIn

🔥 3 hours ago

🇵🇹 Portugal – Remote

💵 €2.7k - €3.2k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 20%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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HumanIT Digital Consulting

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2020

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

HumanIT Digital Consulting is a human-centered digital consulting and talent services firm that helps organizations find, onboard and grow people while delivering digital transformation and IT-related consulting. The company emphasizes people-first values and offers services to both jobseekers and hiring companies across offices in Portugal and Switzerland. HumanIT positions itself as a partner for businesses seeking human talent and for professionals seeking career opportunities in digital and IT roles.

📋 Description

• 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, including infrastructure as code, CI/CD, code reviews and version control • Define data contracts with producing teams to control schema drift • Manage access, retention and lineage • Write documentation that outlasts the engagement • Work directly with senior leadership and client teams on production data systems • Build and run pipelines and platforms moving data from source systems to the warehouse for a leading retail client

🎯 Requirements

• 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) preferred • Spark/PySpark at scale and Databricks preferred • Streaming and pub/sub brokers: Kafka, Kinesis, Pub/Sub or MQTT preferred • Open table and file formats: Parquet, Apache Iceberg, Delta Lake preferred • Docker, Kubernetes and GitHub Actions preferred • Data quality frameworks in production: Great Expectations, Soda or Monte Carlo preferred • AI data infrastructure: embedding pipelines, vector stores, feature stores preferred • NoSQL stores (e.g. MongoDB) and marketing data sources (Google Ads, Meta, CRM APIs) preferred • A cost engineering mindset: making pipelines cheaper and quantifying the savings preferred • Experience in regulated environments (GDPR, access control, auditable lineage) preferred

🏖️ Benefits

• 15th month salary • Health insurance covering your family • Birthday off • Mobility program for digital nomads • Real work-life balance