Hybrid Mid/Senior Data Engineer

Posted last month

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Responsibilities

  • Develop data pipelines for ingestion, transformation, and delivery at scale;
  • Work with modern architectures such as Lakehouse, Data Mesh, and Medallion;
  • Ensure data quality, traceability, versioning, and safe reprocessing of data;
  • Support the construction of observable environments and DataOps practices;
  • Implement solutions focused on performance, governance, and security;
  • Collaborate with architects, data scientists, and data analysts to enable efficient integrations;
  • Participate in technical discussions with clients and recommend best practices.

Requirements

  • Solid experience in data engineering on complex projects (level proportional to seniority);
  • Strong SQL skills and hands-on experience with data transformation and integration;
  • Proficiency in Python for data manipulation and automation;
  • Experience with Microsoft ecosystem tools or equivalents on the Microsoft Fabric platform:
  • Azure Data Factory
  • Azure Synapse Analytics
  • Azure Data Lake
  • Azure SQL / SQL Server
  • Power BI (dataset integration and modeling)
  • Experience with data orchestration, versioning, CI/CD, and monitoring;
  • Knowledge of data modeling best practices (relational and analytical);
  • Experience with cloud environments (Azure);
  • Familiarity with Git, DevOps, and deployment automation;
  • Experience with tools such as dbt, Airflow, Dagster;
  • Experience with data platforms such as Databricks, Snowflake, BigQuery, etc.;
  • Microsoft certifications (DP-203, DP-700, etc.);
  • Experience with AI projects, MLOps, or advanced analytics.

Job title

Mid/Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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