Senior Data Engineer – Databricks, PySpark, SQL

Job not on LinkedIn

🔥 0 minutes ago

🌐 Portugal, Spain – Remote

🇵🇹 Portugal – Remote 🇪🇸 Spain – Remote

💵 €2.3k - €3k / 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

• Design, develop and maintain scalable data ingestion and transformation pipelines on a Databricks-based Lakehouse platform • Implement Bronze, Silver and Gold data layers • Integrate data from enterprise systems, APIs and external sources • Develop processing workflows using PySpark and SQL • Implement reusable engineering frameworks • Optimise pipelines for scalability and cost efficiency • Translate established architecture standards into practical engineering solutions • Support data governance, lineage, cataloguing and access management initiatives • Enable BI and Analytics teams to consume trusted, business-ready data • Participate in Agile ceremonies • Contribute to delivery through Git-based version control and CI/CD practices • Collaborate with Data Architects, Analytics teams and business stakeholders

🎯 Requirements

• At least 4 years of professional Data Engineering experience • At least 2 years of hands-on Databricks development experience • Strong practical skills in Databricks and PySpark for building and maintaining data processing pipelines • Strong SQL development and optimisation skills • Experience with Azure Data Platform services • Proven experience designing and implementing ETL/ELT pipelines, including data ingestion and transformation • Understanding of Lakehouse architecture and Medallion Architecture, including Bronze, Silver and Gold data layers • Experience integrating data from multiple enterprise systems, APIs and external sources • Knowledge of data quality, pipeline reliability, performance optimisation and data security principles • Experience using Git and CI/CD practices in data engineering workflows • Ability to collaborate effectively with Data Architects, BI and Analytics teams, and business stakeholders • Professional working proficiency in English • Availability to work remotely from Portugal or Spain • Preferred: Experience with Delta Live Tables (DLT) • Preferred: Familiarity with Unity Catalog and Databricks data governance capabilities • Preferred: Experience with Microsoft Fabric • Preferred: Previous involvement in Data Hub or Enterprise Data Platform programmes • Preferred: Experience developing reusable data engineering frameworks and components • Preferred: Knowledge of data lineage, cataloguing and enterprise data governance practices • Preferred: Experience optimising cloud data workloads for performance and cost efficiency

🏖️ Benefits

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