At Dataleaps, we're not just hiring engineers—we’re looking for people who love to build, break, fix, and improve.

People who get excited about solving real problems—not just writing clean code. For us, a great job isn’t just about the work. It’s about learning, growing, and being part of a team that genuinely cares.
No egos. No pointless meetings. Just meaningful tech, smart people, and a culture where your voice matters.

Are you passionate about data? Let’s talk.

🚀 The Mission

Design and ship reusable domain data products—not one-off, point-to-point data feeds.

Design and deliver reusable, domain-oriented data products—not one-off data feeds. Instead of building temporary extracts for individual requests, you'll create durable, versioned data assets that serve multiple teams and evolve with the business.

🛠️ Tech Stack You'll Use

• Python – Core language for building APIs and data services

• Terraform – Infrastructure as Code

• Cloud Platforms – GCP preferred (Cloud Run, BigQuery), but AWS or Azure experience is welcome (multi cloud experience is even better)

• DBT – Data modeling and transformation

• Apigee (or equivalent) – API management and monitoring

• ETL/ELT – Pipeline orchestration, testing, and lineage

• CI/CD – GitHub Actions, Bitbucket Pipelines, etc.

• Networking – Secure service-to-service communication

🧩 What You’ll Do

• Own the full lifecycle of data products: ingest, transform (dbt), store (BigQuery or equivalent), and serve via APIs (Python on Cloud Run or similar)

• Translate business needs into robust data contracts with well-designed schemas, versioning, and change management

• Design for scale and reuse, replacing brittle, ad-hoc solutions with maintainable and scalable data products

• Expose and secure data via APIs and warehouse interfaces with proper access controls and compliance

• Automate infrastructure with Terraform, containerize services, and optimize for performance and cost

• Collaborate cross-functionally with analysts, product managers, and engineers; lead technical discussions and mentor others

✅ What We’re Looking For

Must-Haves

• 5+ years of experience building and maintaining end-to-end data products in production environments

• Strong expertise in Python and cloud data warehouses (preferably BigQuery)

• Solid experience with dbt, API design, and data modeling/lineage

• Proven ability to guide stakeholders from vague requests to well-structured, reusable data solutions

• Clear, proactive communicator; confident working directly with technical and business teams

Nice-to-Haves

• Experience with Apigee, Terraform modules, and serverless containers

• Strong foundation in observability, security-by-design, and cost management

• Background in complex data modeling (e.g., dimensional models, domain-driven design)

🎯 Why Join Us?

• Work on data that powers real-world decisions

• Build high-impact, reusable systems—not just pipelines

• Join a small, senior team that values autonomy, ownership, and growth

• Be part of a company that moves fast and builds thoughtfully