Senior Data Engineer – Azure, Databricks

🕒 July 21

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

☁️ Cloud Engineer

👻 Ghost score 27%

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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Keyrus

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1996

🤝 B2B

💼 Consulting

B2B • Data Analytics • Consulting

Keyrus is an international company passionate about leveraging data to make impactful changes in life, society, and the future. With a presence in 18 countries, Keyrus is dedicated to creating meaningful careers for its employees by fostering excellence, trust, creativity, kindness, and fun. Specializing in data analytics, data advisory, and management, Keyrus provides vendor-agnostic solutions and continuous training opportunities through its KLX platform. The company also emphasizes a healthy work-life balance with a range of benefits, including sports events, healthcare plans, and an inclusive work culture. Keyrus is committed to openness and transparency to maintain positive workplace relationships and is driven to innovate and influence the digital future.

📋 Description

• As a Data Engineer, you will be responsible for developing, deploying and evolving scalable data pipelines, ensuring data quality, governance and availability to support analytics, digital products and AI initiatives.

🎯 Requirements

• Experience in Data Engineering using Microsoft Azure • Experience with Azure Data Factory, Azure Data Lake, Azure Functions, Synapse Analytics or equivalent services • Strong experience with Databricks • Advanced knowledge of PySpark • Experience with Airflow for pipeline orchestration • Familiarity with DevOps practices (Git, CI/CD and deployment automation) • Experience building and maintaining production data pipelines • Knowledge of data modeling (dimensional, relational, Data Vault or similar) • Proficiency in SQL • Experience with Delta Lake and Lakehouse architecture (advantageous)

🏖️ Benefits

• Collaborate with multidisciplinary teams, contributing to technical decisions and sharing knowledge • Ensure data quality, governance and security through engineering best practices