Senior Data Engineer

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