Senior Data Engineer

🕒 July 17

🇧🇷 Brazil – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 37%

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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GFT Technologies

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1987

💼 Consulting

🛡️ Insurance

🔒 Cybersecurity

Consulting • Insurance • Cybersecurity

GFT Technologies is a leading technology and digital transformation company that specializes in providing advanced solutions for consent management and data privacy compliance. Their flagship product, Cookiebot, enables businesses to automate user consent collection efficiently, ensuring adherence to complex privacy regulations such as GDPR and CCPA. GFT's solutions facilitate seamless integration into existing digital infrastructures, helping over 600,000 customers globally manage user data transparently and securely.

📋 Description

• Collaborate on the development and evolution of the Enterprise Lakehouse platform based on Databricks and Data Mesh. • Implement and administer Unity Catalog as the central data governance layer. • Structure data sharing between domains using Delta Sharing. • Develop batch and streaming data ingestion patterns for use by business domains. • Build and evolve the medallion architecture (Bronze, Silver, and Gold) for data processing. • Develop Data Contracts and Data Quality frameworks for the platform. • Structure and automate CI/CD pipelines for Databricks environments. • Implement infrastructure automation using Infrastructure as Code (IaC) practices. • Integrate the Databricks platform with the existing AWS Data Mesh ecosystem. • Ensure interoperability between catalogs, services, and data governance models. • Participate in architectural decisions, the definition of technical standards, and platform evolution. • Produce technical documentation and support the team’s technical development. • Contribute to observability, monitoring, performance, and governance across data environments. • Work collaboratively, solve problems, operate independently, and manage your own time.

🎯 Requirements

• Strong experience with the Databricks platform, including administration of Workspaces, clusters, Jobs, and workflows. • Experience with Unity Catalog, including governance, permissions models, lineage, external locations, and Storage integration. • Advanced knowledge of Delta Lake and medallion architecture (Bronze, Silver, and Gold). • Experience implementing batch and streaming data ingestion processes. • Experience with CI/CD for Databricks using Databricks Asset Bundles, Repos, and tools such as GitHub Actions, Azure DevOps, or similar. • Experience with AWS services, including S3, Glue, Lake Formation, EMR (EC2 and Serverless), Athena, Lambda, IAM, DMS, Kinesis, Step Functions, SNS, SQS, and EventBridge. • Knowledge of Infrastructure as Code using Terraform, including the Databricks Provider. • Proficiency in Python and PySpark for pipeline development and automation. • Advanced knowledge of SQL. • Experience with Data Contracts and metadata platforms such as OpenMetadata. • Experience with monitoring and observability using Datadog. • Knowledge of data architecture and governance in enterprise environments. • Ability to work in collaborative environments, leading technical discussions and architectural decisions. • Experience with Data Mesh initiatives, including data domains, Data Products, and federated governance. • Nice to have: experience in financial markets, credit, or financial services; data platform observability and monitoring; FinOps practices in Databricks; cross-company, cross-cloud, or cross-region Delta Sharing; AWS or Databricks certifications; knowledge of ODCS/ODPS; modern data governance, sharing, and monetization platforms; and large-scale enterprise data platforms.

🏖️ Benefits

• Multi-benefit card – choose how and where to use it. • Scholarships for undergraduate, postgraduate, MBA, and language courses. • Certification incentive programs. • Flexible working hours. • Competitive salaries. • Annual performance review with a structured career development plan. • International career opportunities. • Wellhub and TotalPass. • Private pension plan. • Childcare assistance. • Medical insurance. • Dental insurance. • Life insurance. • A safe workplace environment built on diversity, equality, and inclusion. • A development and growth culture based on Continuous Scaled Learning.