Data Engineer (Finance)

TL;DR

Data Engineer (Databricks/Spark): Implementing ETL processes to integrate billing, payroll, and customer data for a new ERP system with an accent on data quality and pipeline optimization. Focus on managing Databricks Unity Catalogs, Delta tables, and developing APIs for data access.

Location: Hybrid in Lisbon, Portugal

Company

An ecosystem of 60+ brands providing web hosting and SaaS solutions to over 3.3 million customers across Europe.

What you will do

• Implement ETL processes to ingest data from various billing and payroll sources.
• Ensure data quality, integrity, and reliability through rigorous testing and validation.
• Manage and optimize Databricks Unity Catalogs and Delta tables.
• Develop APIs and interfaces for efficient data access and manipulation.
• Generate reports and visualizations to communicate data insights and pipeline performance.
• Provide technical support and troubleshoot data-related issues.

Requirements

• Bachelor's degree in IT, Computer Science, Data Science, or a related field.
• Experience with Databricks and related technologies (Apache Spark, Delta tables, Unity Catalogs).
• Basic understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving skills and high attention to detail.
• Ability to analyze complex data sets and identify patterns or anomalies.

Culture & Benefits

• Strong commitment to Diversity & Inclusion, valuing respect and trusted collaboration.
• Active ESG efforts with ambitious sustainability goals.
• Collaborative environment across a diverse ecosystem of brands.