Data Engineer – Databricks, DBT, Streaming, ML, AI

Job not on LinkedIn

🕒 July 15

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 14%

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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Leega

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2010

💼 Consulting

📣 Marketing

🔌 API

Consulting • Marketing • API

Leega is a leading technology solutions provider in Latin America, specializing in data analytics and cloud solutions. As the first company in the region certified by Google Cloud for Data Analytics, Leega offers a range of services including application development, machine learning, and risk management analytics. The firm partners with major cloud services such as AWS and Microsoft Azure to help businesses enhance their data management and transition effectively to the cloud, ultimately driving digital transformation and innovation.

📋 Description

• Define architectural paths, standards and guidelines for the data platform focused on AI • Design and build mechanisms for ingestion, processing and provisioning of unstructured data (PDFs, audio, images, videos) • Define the data structures for consumption by AI/ML and generative AI models • Automate, improve and propose changes to existing data processes • Perform proofs of concept and practical tests to validate solutions before scaling them • Serve as a technical reference within an enablement team, supporting multidisciplinary teams • Build and evolve scalable data pipelines integrated with external applications

🎯 Requirements

• Strong experience with Databricks and Apache Spark for large-scale distributed processing • Proficiency in Python and SQL applied to data engineering (Scala is a plus) • Experience processing unstructured data (documents/PDFs, audio, images or video) for AI consumption • Experience defining data architecture and providing technical direction (not only execution) • Familiarity with data preparation for AI/ML and generative AI (feature engineering, chunking, embeddings, model consumption) • Experience integrating data with external systems (APIs, SaaS services, streaming) • Experience with cloud computing, preferably GCP • Knowledge of Delta Lake (Lakehouse architecture, data versioning and governance) • Experience modeling and transforming data with DBT • Practical experience with scalable, robust data pipelines (ETL/ELT) • Experience with code versioning (Git) and CI/CD • Experience in agile environments and collaborating with multidisciplinary teams • Hands-on profile with autonomy to propose, test and improve processes

🏖️ Benefits

• Porto Seguro health insurance • Porto Seguro dental plan • Profit Sharing (PLR) • Childcare assistance • Alelo meal and grocery vouchers • Home office allowance • Partnerships with educational institutions • Support for certifications, including cloud certifications • Livelo points • TotalPass • Mindself