Senior Data Engineer

Job not on LinkedIn

🕒 June 1

🇵🇹 Portugal – Remote

💵 €2.5k - €3.2k / month

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 45%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

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 operate pipelines and platforms that move customer data from source systems into the warehouse • Develop batch and streaming ingestion from databases, event streams and third-party APIs • Design storage architecture across lake, lakehouse and warehouse, optimised for partitioning, cost and query speed • Implement orchestration, automated testing, alerting and clean recovery so pipelines remain observable and restartable • Apply infrastructure as code, CI/CD for data workloads, code reviews and strict version control • Negotiate data contracts with producing teams to control schema drift • Manage access, retention and lineage • Create documentation that outlives the engagement • Work directly with leadership and client teams • Use AI-assisted engineering transparently throughout the process

🎯 Requirements

• Proven experience building and running data pipelines in production, including the ability to explain what broke and what you learned • Advanced, production-grade SQL • Advanced Python (3.12) • Production depth in one major cloud provider: AWS, GCP or Azure • Production experience with a mainstream orchestrator: Apache Airflow 2.10, Dagster or Azure Data Factory • Infrastructure as code, CI/CD for data workloads, code review and version control • Data contracts, schema drift control, access management, retention and lineage • AI-augmented workflow with strict review discipline before anything ships • Fluent English, spoken and written • Based in Portugal • Second cloud platform in production • Warehouse depth in Snowflake or BigQuery, with dimensional or Data Vault modelling • dbt 1.9 or equivalent transformation framework • Apache Spark 3.5 or PySpark at scale, and Databricks • Streaming and pub/sub brokers: Apache Kafka 3.8, Kinesis, Pub/Sub or MQTT-class brokers • AI data infrastructure: embedding pipelines, vector stores, retrieval feeds, feature stores • Open table and file formats: Parquet, Apache Iceberg, Delta Lake • Terraform 1.9, Docker, Kubernetes 1.31, GitHub Actions • Data quality frameworks in production: Great Expectations, Soda or Monte Carlo • Cost engineering mindset, with the ability to quantify pipeline savings • Regulated environment exposure: GDPR obligations, access control, auditable lineage • NoSQL stores such as MongoDB • Marketing and ad-platform data: Google Ads, Meta, CRM platform APIs • Portuguese

🏖️ Benefits

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