Senior/Principal Data Engineer

Requirements

• 6+ years of experience in data engineering
• Strong programming skills in Python
• Proven track record of designing and delivering early‑stage data platforms from concept (v1) to production
• Strong expertise with modern data tooling (e.g., Snowflake/BigQuery/Redshift, dbt, Airflow/Dagster/Prefect, Fivetran/Airbyte, etc.)
• Solid understanding of data modeling, ETL/ELT, and pipeline optimization
• Strong knowledge of data quality, testing, and monitoring best practices
• Upper‑Intermediate English or higher

WILL BE A PLUS

• Experience with AI/ML data pipelines
• Familiarity with finance/accounting datasets
• Knowledge of compliance frameworks such as SOX or GDPR
• Experience mentoring junior engineers

Personal Profile

• Proactive problem‑solver with a hands‑on approach
• Adaptable to fast‑moving environments
• Strong communication skills for cross‑team collaboration
• Ability to take ownership and drive initiatives to completion

Responsibilities

• Design and implement a scalable data warehouse or data lakehouse to support analytics, reporting, and business KPIs
• Develop and maintain reliable batch and/or streaming data pipelines from internal databases and external systems
• Collaborate with stakeholders to translate business requirements into efficient data models and schemas
• Establish and maintain data modeling standards and best practices
• Implement monitoring, data quality controls, and observability for all data workflows
• Provide well‑structured datasets to enable self‑service analytics for BI and data teams
• Document the data platform, including lineage, definitions, and contracts, to create a shared source of truth for metrics