AI-first Data Engineer
Are you a driven Data Engineer who uses AI to build faster and better? Do you want to create the data foundation for an AI-first platform and see your impact immediately? Join Wally and take ownership of a core part of our data infrastructure.
The role
As our AI-first Data Engineer, you will design and build the data pipelines that power Wally. You will create reliable ETL pipelines in Dagster. These pipelines will collect data from accounting systems and other external sources, transform it, and load it into BigQuery. From day one, you will play an important role in the architecture and development of our data platform.
- ·Ownership: You independently solve difficult data and infrastructure problems.
- ·Proactive thinking: You identify weaknesses and propose structural improvements.
- ·Strategic collaboration: You work closely with our founders and engineers on technical decisions.
- ·Implementation freedom: You receive the freedom and responsibility to choose effective solutions.
- ·AI-first mindset: You use AI throughout your development workflow to increase speed, quality, and productivity.
Your responsibilities
Your main goal is to build a dependable data platform for Wally and our customers.
- ·Build ETL pipelines: Design, implement, and maintain pipelines in Python and Dagster.
- ·Integrate data sources: Connect accounting platforms, APIs, databases, and file-based sources.
- ·Model data in BigQuery: Create clear and efficient datasets for our product and AI systems.
- ·Improve data quality: Add validation, monitoring, lineage, retries, and actionable alerts.
- ·Design for scale: Build pipelines that handle growing data volumes and many customer organizations.
- ·Operate production workloads: Investigate failures and improve platform reliability and cost.
- ·Support product development: Make trusted financial data available throughout Wally.
- ·Improve delivery: Contribute to testing, CI/CD, deployment, and infrastructure automation.
Your profile
We value your skills and mindset more than a specific degree.
- ·You have strong experience with Python and production data pipelines.
- ·You understand ETL or ELT architecture, orchestration, and data modelling.
- ·You have experience with Dagster, Airflow, Prefect, or a similar orchestration platform.
- ·You know SQL well and have worked with a cloud data warehouse.
- ·You understand APIs, authentication, pagination, rate limits, and incremental synchronization.
- ·You care about correctness, observability, maintainability, and data security.
- ·You work independently and take responsibility from design through production support.
- ·You use AI coding tools effectively and verify the results.
- ·Experience with BigQuery, Google Cloud, MongoDB, Docker, or accounting data is a plus.
Work with modern data and AI technology
You will work with technologies that directly support Wally’s AI platform:
- ·Data orchestration: Dagster and Python.
- ·Data warehouse: BigQuery and Google Cloud.
- ·Operational systems: MongoDB, APIs, and external accounting platforms.
- ·AI development: Claude, GPT, Gemini, and other advanced models.
- ·Engineering workflow: GitHub Actions, Docker, automated testing, and AI-assisted development.
Interested?
Do you want to own a core part of Wally’s technical foundation? Do you enjoy turning fragmented external data into reliable product infrastructure? Apply now and help us build the data platform behind the AI colleague for accounting firms.
Does this speak to you?
Do you see yourself as a key figure in the growth of a young, promising start-up? Then apply now!