Data Engineer

About the role

You will be responsible for transforming complex raw data into refined "data offerings" that empower the entire company. You won't just be building pipelines in a vacuum; you will work as a strategic partner alongside analysts, product owners, and business leaders to ensure our data is intuitive, consistent, and ready for the next generation of data consumption.

Responsibilities

• Transform complex raw data into refined "data offerings" that empower the entire company.
• Work as a strategic partner alongside analysts, product owners, and business leaders to ensure our data is intuitive, consistent, and ready for the next generation of data consumption.
• Partner with a diverse range of stakeholders to translate ambiguous business requirements into robust, scalable data architectures.
• Design and manage the central semantic models that serve as the single source of truth for our core business metrics.
• Proactively use AI-assisted tools (such as GitHub Copilot or LLMs) to streamline code generation, automate documentation, and perform rigorous testing to move faster without sacrificing quality.
• Build the Logic Layer: Design and manage the central semantic models that serve as the single source of truth for our core business metrics.
• Ensure Integrity: Implement automated testing and observability frameworks to maintain high data accuracy and trust across the organization.
• Enable Modern Use Cases: Optimize data structures to support emerging ways of interacting with data, focusing on interoperability and seamless access across different platforms.

Requirements

• 3+ years of experience in a data engineering, analytics engineering, or high-level data architecture role.
• Expertise in SQL: A deep understanding of how to write clean, performant, and modular code to transform data at scale.
• An Efficiency Mindset: A track record of using modern tools to automate repetitive tasks and a genuine curiosity about how AI can enhance the engineering lifecycle.
• A "Product" Mindset: A track record of working closely with stakeholders to turn business needs into actionable data plans and models.
• Systems Thinking: Experience building data models that prioritize consistency, reusability, and clear documentation.
• Bonus Points: Experience with Snowflake or dbt. Familiarity with building or maintaining a centralized semantic/metrics layer. Hands-on experience integrating AI-assisted development into your daily coding workflow. Proficiency in a scripting language such as Python.

Qualifications

• Experience with Snowflake or dbt.
• Familiarity with building or maintaining a centralized semantic/metrics layer.
• Hands-on experience integrating AI-assisted development into your daily coding workflow.
• Proficiency in a scripting language such as Python.

Skills

• SQL
• AI-assisted development tools (GitHub Copilot, LLMs)
• Data modeling
• Automated testing and observability
• Interoperability and seamless access across different platforms

Benefits

Prioritize health, wellness, financial security, and life balance with programs tailored to your location and role. Flexible working hours, work-from-home allowances, in-office perks, and time off for learning and self development. Generous vacation and wellness time off, country-specific holidays, and 100% paid parental leave for all caregivers. Health benefits, employee assistance plans, and annual wellness allowance. Country-specific life insurance, disability benefits, and retirement/pension programs, plus mobile phone and education allowances.

Pay

TBD

Schedule

TBD