Senior Data Engineer

Job Description

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

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

Preferred Skills:

• Familiarity with AI/ML workflows, feature stores, and real-time data needs
• Experience implementing MLOps and DataOps best practices
• Strong stakeholder management and ability to translate business needs into data requirements
• Experience with data privacy regulations (e.g. GDPR, PII handling)
• Self-directed and self-improving: you manage your own time, define your own growth path, and hold yourself to a high bar without waiting to be told

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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