Senior Data Engineer, Databricks Migration

🕒 August 10

🇵🇹 Portugal – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Open for 92 days.
• Jobs at this company usually fill in 36 days.
• No salary listed.

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📋 Description

• Participate in the migration of a large-scale analytical platform from BigQuery to Databricks • Design and implement scalable Lakehouse architectures using Databricks and Delta Lake • Analyze existing ETL / ELT workloads and define migration approaches • Develop and optimize data pipelines processing large volumes of retail and analytical data • Implement incremental processing strategies and scalable transformation frameworks • Build and maintain Spark-based data processing solutions using PySpark • Design and maintain Bronze, Silver, and Gold medallion architecture layers • Implement data governance and security best practices using Unity Catalog • Collaborate with Data Science, Analytics, Product, and Customer Engineering teams • Participate in architecture discussions and technical solution design • Develop reusable data platform components and engineering standards • Conduct code reviews and contribute to platform reliability and maintainability • Troubleshoot and optimize complex SQL and Spark workloads • Support production deployments and platform modernization activities

🎯 Requirements

• 5+ years of professional experience as a Data Engineer • Strong programming skills in Python and advanced SQL • Hands-on commercial experience with Databricks • Strong knowledge of Apache Spark, primarily PySpark • Experience designing and building modern cloud-based data platforms • Experience developing ETL / ELT pipelines and large-scale data processing solutions • Hands-on experience with Delta Lake • Experience with Spark Declarative Pipelines • Experience with cluster monitoring, metrics analysis, and performance optimization • Strong understanding of distributed data processing architectures • Solid understanding of data warehousing concepts and dimensional modeling • Experience with Airflow or similar orchestration tools • Experience optimizing complex analytical SQL workloads • Experience implementing CI / CD practices for data engineering platforms • Strong troubleshooting and performance optimization skills • Ability to work collaboratively in cross-functional international teams • Upper-Intermediate or higher English level • Experience with GCP cloud services, AWS, or Azure is a plus • Experience in retail analytics or pricing optimization domains is a plus • Experience supporting machine learning or AI-related data workloads is a plus • Experience with platform modernization and cloud migration initiatives is a plus • Strong analytical and problem-solving mindset • Proactive and ownership-driven approach • Ability to work independently and collaboratively • Good communication and stakeholder collaboration skills • Passion for scalable data engineering and modern data platforms • Interest in continuous learning and technology innovation

🏖️ Benefits

• Remote work • Opportunities for continuous learning • Technology growth opportunities • Meaningful engineering impact • Work on complex international projects

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