Senior Data Engineer

New
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Remote PeopleWorkforce management platform
Location: Europe (Remote)Full-TimeSenior
Salary not disclosed
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Job Details

Experience
Minimum of 6 years in Data Engineering or Software Engineering, with at least 2 years in a senior role
Required Skills
AWSPythonSQLSnowflakeAirflowTerraformBigQuerydbtRedshift

Requirements

  • Minimum of 6 years in Data Engineering or Software Engineering, with at least 2 years in a senior role
  • Deep experience with ETL/ELT frameworks and data pipeline orchestration (e.g. Airflow, dbt)
  • Strong Python and advanced SQL skills
  • Hands-on experience with modern data warehouses (e.g. Snowflake, BigQuery, Redshift) and data lake architectures
  • Strong understanding of data modelling, data partitioning, schema design, and performance tuning
  • Solid knowledge of cloud platforms (preferably AWS) and infrastructure automation tools (e.g. Terraform)
  • Experience with monitoring and observability of data pipelines
  • Demonstrated, hands-on experience using AI tools to accelerate data engineering in a production context
  • Ability to communicate effectively in a remote environment — clear written communication, reliable async collaboration

Responsibilities

  • Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting
  • Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs
  • Work closely with AI Engineers and BI Engineers to enable advanced modelling, data exploration, and dashboard reliability
  • Ensure data integrity, availability, lineage, and observability across complex pipelines
  • Define and enforce best practices in data modelling, pipeline orchestration, and data infrastructure reliability
  • Champion the use of Infrastructure as Code and automation in managing data services
  • Proactively address scaling bottlenecks, performance issues, and architectural challenges
  • Leverage AI tools to accelerate data engineering work — and act as the quality gate on AI-generated pipeline code
  • Mentor junior Data Engineers and contribute to team knowledge sharing
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