You will oversee the consolidation of diverse data sources to ensure a "single source of truth" across our BI and reporting layers.

Requirements:

• You have at least 4 years of experience in fields of data engineering, data analytics or BI engineering
• You have a proven track record of replacing manual, repetitive data tasks with automated, scalable processes.
• You have exceptional SQL skills and experience with modern data transformation tools (e.g., Dataform, dbt) and cloud data warehouses (we use mainly BigQuery)
• You can write clean, maintainable scripts to automate tasks or handle data transformations in Python
• You’re a team player, ready to support others and ensure deadlines are met. You have proven ability of introducing engineering best practices among data scientists and analysts (version control, modular code, documentation)
• You know how to design clean, reusable tables (e.g., dbt, Kimball, or Star Schema) that make analysts life easier
• You are showing the ability to mentor and review the work of business-oriented analysts, translating complex technical concepts into actionable workflows. We are looking for someone with a strong desire to understand the "why" behind the data. You don't just build pipelines; you build solutions that solve specific business problems.
• You are confident working with large-scale datasets and understand how to optimize query logic, indexes, and joins for performance.
• You possess strong analytical skills and can break down ambiguous problems into actionable solutions.
• You are eager to continuously learn and adapt to new challenges.

Nice to have:

• Experience with introducing and maintaining data governance practices
• Domain knowledge in following industries: airlines, transportation, logistics or vacations
• Experience with automating processes and introducing llm, agents and other practices