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Data Engineer (Modern Data Stack / DataOps)

Ddroidd Limited·Salary not specified

Primary stack

SnowflakeAirflowdbtSQL

Nice to have's

DatabricksScalaAWSJSON

Job description

About the Position

We are looking for a Senior Data Engineer with experience in modern cloud data platforms to join our team in Romania. The role focuses on building, orchestrating, and maintaining reliable data pipelines and transformation workflows using a modern data stack centered around Snowflake, dbt, and Apache Airflow.

This role combines data engineering expertise with DataOps practices, ensuring scalable, well-governed, and automated data workflows.

Responsibilities

  • Design and maintain data pipelines and ELT workflows within a modern cloud data platform.
  • Build and maintain data transformation models using dbt, including testing, documentation, and modular data modeling.
  • Orchestrate and monitor workflows using Apache Airflow.
  • Manage and optimize Snowflake data warehouse environments, including performance and cost efficiency.
  • Implement DataOps practices such as CI/CD, automated testing, and deployment for data pipelines.
  • Ensure data quality, reliability, and observability across the data platform.
  • Collaborate with analytics, product, and engineering teams to deliver reliable datasets and data products.
  • Improve monitoring, automation, and operational processes for the data platform.

Requirements

  • 7+ years of experience in Data Engineering or similar roles
  • Strong hands-on experience with:
    • Snowflake
    • Apache Airflow
    • dbt (data build tool)
  • Strong SQL expertise
  • Experience building and managing ELT pipelines
  • Experience with Git and collaborative development workflows
  • Familiarity with DataOps / CI/CD practices for data pipelines
  • Solid understanding of data modeling and data warehouse architecture

Nice to Have

  • Experience with Databricks platform and its ecosystem
  • Knowledge of Scala for Spark development
  • Knowledge of AWS data ecosystem
  • Familiarity with linked data concepts and JSON-LD format

We Offer

  • Private medical insurance
  • National holidays off, even when falling on weekends
  • Loyalty leave: +1 day/year
  • Continuous professional development opportunities
  • Sports subscription programs
  • Referral bonuses for bringing in new talent
  • Meal tickets
  • Bookster subscription for reading & learning
  • Community and team-building events
  • Flexible and unlimited remote work policy

About the Company

[Company description if present]

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