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senior

Data Engineer

MindK
format:Remotecompany:Outsource
azuresqlazure devopsetl
finopsazure sqlcosmos dbpostgresqlmysqlpower biadobe illustrator
experience5+ years
domainSaaS
> full description

We are looking for a Senior Data Engineer with strong experience in building scalable data platforms for SaaS and enterprise products, preferably within the Microsoft Azure ecosystem. The ideal candidate will have hands-on experience with data lakes, ETL/ELT pipelines, data modelling, reporting, data quality, and ideally billing or FinOps-related data.

Requirements:

  • 5+ years of experience in Data Engineering;
  • Strong experience with Microsoft Azure;
  • Experience designing and building Data Lakes / Data Warehouses and multi-tenant data architectures;
  • Strong knowledge of ETL/ELT, data ingestion, transformation, and processing;
  • Experience developing canonical data models and semantic layers;
  • Experience working with billing, invoices, subscriptions, services, SKUs, pricing, and reconciliation data;
  • Experience with Azure Billing / Retail Prices API is a strong advantage;
  • Knowledge of data quality, validation, reconciliation, lineage, and data governance;
  • Experience preparing data for reporting, dashboards, analytics, and forecasting;
  • Experience integrating APIs and multiple data sources;
  • Strong SQL skills and understanding of cloud databases and performance optimization;
  • Experience with Azure DevOps, including Repos, Boards, and Pipelines;
  • Understanding of RBAC, tenant isolation, data protection, and auditability;
  • Ability to work effectively in an Agile product team alongside .NET/Angular developers, QA, DevOps, and Product.

Nice to Have:

  • Experience with FinOps / Cloud Cost Management;
  • Hands-on experience with Azure services such as Azure SQL, Cosmos DB, PostgreSQL/MySQL, Functions, and Container Apps;
  • Background in SaaS, cloud cost management, billing, or FinOps platforms;
  • Experience with Power BI or other reporting solutions;
  • Experience with AI/LLM data workflows or governed MCP/access layers.

Perks and Benefits:

  • Competitive salary that matches your qualifications and experience;
  • Career growth and regular salary reviews;
  • 50% compensation for professional training or conferences;
  • 100% compensation for successfully passing the certification;
  • Free English classes;
  • Compensation for medical insurance;
  • An opportunity to participate in conferences and events organized by the company.

If you think we’ll make a great fit, don’t hesitate to send your CV.

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