About The RoleAs a Data Engineer on our team, 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.
We are a team that values speed and high-leverage work. You should be an engineer who is not only comfortable with but enthusiastic about leveraging AI-assisted development tools to accelerate your workflow. You will play a key role in defining our central logic layer-ensuring that how we measure and talk about the business is standardized, interoperable, and easily accessible across the organization.
You Will:- Collaborate Across the Business: Partner with a diverse range of stakeholders to translate ambiguous business requirements into robust, scalable data architectures.
- Build the Logic Layer: Design and manage the central semantic models that serve as the single source of truth for our core business metrics.
- Accelerate with AI: 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.
- Drive Data Usability: Simplify the complexity of our data ecosystem by building data products that are easy for both humans and automated systems to navigate.
- 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.
You Have:- 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.
We care deeply about the warm, inclusive environment we've created and we value diversity - we welcome applications from those typically underrepresented in tech. If you like the sound of this role but are not totally sure whether you're the right person, do apply anyway!
Benefits & Programs- 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
