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Data Engineer
Salmon Group · Remote, Kazakhstan
About The Role
- Salmon is a technology-driven financial company building a banking and lending platform across Southeast Asia, starting in the Philippines.
- We combine global fintech expertise with deep local market knowledge to make financial services simple, accessible, and useful for millions of people across the region.
- 7M+ app downloads. 2M+ monthly active users. 7,000+ partner stores. US$310M+ raised from leading global investors.
- Manila-based, globally distributed, and hybrid-first — our team spans 45+ countries.
- If you want to solve complex problems at scale and impact how millions of people access and manage money, come build with us.
- Southeast Asia's fintech moment starts here.
- About the role
- You'll build and own the data pipelines and lakehouse architecture that turn raw data into reliable inputs powering products used by millions of people.
- What you'll do
- Design and run batch and streaming pipelines on Databricks and Apache Spark over AWS, ingesting from databases, APIs, and event streams.
- Shape our lakehouse architecture on S3 and Delta Lake, including medallion (Bronze / Silver / Gold) layering and storage optimization.
- Work directly with analytics, engineering, and product teams to turn raw data into reliable, usable inputs for the business.
What you'll own
- Build and maintain scalable ETL/ELT pipelines that are fault-tolerant and cost-optimized.
- Optimize Spark jobs end to end — cluster sizing, caching, joins, shuffles, partitioning, and storage formats (Parquet, Delta).
- Manage Databricks Workflows, jobs, and cluster configurations, and respond to failures and performance issues.
- Implement data governance and access control with Unity Catalog across accounts and environments.
- Protect data correctness and reliability across the platform.
What makes you a strong fit
- Hands-on experience with Databricks and strong proficiency in Apache Spark (PySpark and/or Scala).
- Strong Python for data engineering, plus SQL and Spark SQL for transformation and analytics.
- Experience with Delta Lake and lakehouse architectures, including performance optimization.
- Experience writing clean, testable, maintainable code with Git-based version control.
- Ability to work independently and own pipelines end to end.
- What we offer
- Build what's next in Southeast Asian fintech.
- Ownership and flexibility
- Stock option plan — four-year vesting with a 25% cliff after the first year
- Hybrid-first, with fully remote work available for eligible roles and core collaboration hours from 12:00 to 19:00 Manila time (UTC+8)
- Company-provided tools and equipment
- Office in Bonifacio Global City, Manila — a modern, walkable district at the centre of the Philippines' growing tech scene
Health and time off
- Medical insurance support for you and your family through co-funding or reimbursement, depending on your location and subject to policy limits
- Access to an internal mental health support specialist
- 22 vacation days, Philippine public holidays, and 15 sick days
- 105 days of paid maternity leave and up to 14 days of paid paternity leave for employees relocating to Manila
Relocation and family support
- Relocation support for you, your family — including flights, two weeks of accommodation, visas, paperwork, and logistics
- Reimbursement of eligible pet relocation expenses
- US$2,500 per year for flights home
- Baby and family stipends for employees relocating to Manila: US$1,000 per month for each child under two and US$500 per month for each child aged two to 18
Growth and team experience
- Opportunities to learn and share your expertise through internal expert meetups, external conferences, speaking opportunities, and industry publications
- Company-sponsored trips to Manila to meet and work with your team in person
- Regular team offsites, sports activities, and team events
- High-performing teams can earn a dedicated beach house week in Southeast Asia
Considering a move to Manila? See what life with Salmon looks like https://www.youtube.com/watch?v=nYQLKhuZHIE&t=34s
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