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Senior Data Engineer

1 hour, 2 minutes ago

Europe

Full-time

Senior

Data Engineer

Software Development

Apache Airflow AWS dbt GCP MLOps Python Snowflake SQL Terraform

Apply Now

Remote People

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Description

Design, implement, and maintain scalable data pipelines for AI, analytics, and operational reporting.
Own and evolve the data warehouse architecture to meet performance, flexibility, and governance needs.
Work closely with AI Engineers, BI Engineers, and business stakeholders to support modelling, exploration, and dashboard reliability.
Ensure data integrity, availability, lineage, and observability across complex pipelines.
Define and enforce best practices for data modelling, pipeline orchestration, and infrastructure reliability.
Champion Infrastructure as Code and automation for managing data services.
Identify and resolve scaling bottlenecks, performance issues, and architectural challenges.
Use AI tools to accelerate data engineering work and review AI-generated pipeline code for quality.
Mentor junior Data Engineers and contribute to team knowledge sharing.

Requirements

Minimum of 6 years of experience in Data Engineering or Software Engineering, including at least 2 years in a senior role.
Deep experience with ETL/ELT frameworks and data pipeline orchestration, such as Airflow and dbt.
Strong Python skills and advanced SQL skills.
Hands-on experience with modern data warehouses, such as Snowflake, BigQuery, or 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 such as Terraform.
Experience with monitoring and observability for 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 with clear written communication and reliable async collaboration.
Familiarity with AI/ML workflows, feature stores, and real-time data needs is preferred.
Experience implementing MLOps and DataOps best practices is preferred.
Strong stakeholder management skills and the ability to translate business needs into data requirements is preferred.
Experience with data privacy regulations, such as GDPR and PII handling, is preferred.
Self-directed and self-improving, with the ability to manage your own time and growth path, is preferred.

Benefits

Competitive salary.
Asynchronous working environment.
Remote-first company environment, with hybrid arrangements depending on the role.
Ability to work from abroad for a short period of time.
Growth opportunities within the company.
Hardware provided to all new joiners from day one.

Interested in this position?

Apply directly on the company website

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