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Salmon Group

Senior Analytics Engineer

Kazakhstan; Kyrgyzstan; UzbekistanHybrid · Kazakhstan
Senior · FullTime · AI and Data
POSTED 3 SEPTVERIFIED 22H AGO
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Role
66 days opentrue age
Posted 3 Sept
CompanySalmon Group →
60open roles
Opened · 30d
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Closed · 30d
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1,220open · Senior Data engineering
All data engineering
3,789open
All tracked boards · live 8 Nov · n=1,220
dbtSQL

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 the analytics layer for Finance and Marketing & Growth — two areas that only get partial coverage today — and help shape how analytics engineering scales as the team and data volume grow.

What you'll do

Build the semantic layer that powers Finance's financial reporting, turning business logic into reliable, gold-layer datasets.

Build the analytics layer for Marketing & Growth, enabling self-service reporting on acquisition, funnels, and campaign performance.

Help define how analytics engineering scales across the team — supporting other analysts' data models and shaping technical standards.

What you'll own

Own the semantic layer for financial reporting, ensuring one consistent source of truth for business metrics.

Own the analytics layer for Marketing & Growth, from data modeling to self-service reporting.

Build and maintain dbt models (staging, intermediate, marts) with tests, documentation, and reusable macros.

Design scalable data models in Databricks silver and gold layers, applying dimensional modeling.

Support other analysts across the data team, optimizing self-built data models when performance or reliability issues come up.

Contribute to defining the strategy and standards for analytics engineering as it grows.

What makes you a strong fit

5+ years of experience in analytics engineering, including Senior or Tech Lead level work: setting technical standards and supporting other analysts

Readiness to relocate to Manila or travel there regularly for in-person work with the team

Strong SQL expertise, including complex queries, window functions, and query optimization on large datasets

Hands-on experience with dbt — models, macros, tests, documentation, and CI workflows

Strong dimensional modeling experience (3NF/Inmon, star schema, or anchor modeling)

Experience building semantic layers or maintaining a single source of truth for business metrics

Experience in banking or fintech is a plus, especially data modeling for financial products

Comfortable working in Git-based ELT workflows

What we offer

Ownership and flexibility

Stock option plan — four-year vesting with a 25% cliff after the first year

Relocation to Manila or remote work from a GMT+5 time zone, with business trips to Manila

Company-provided tools and equipment

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

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

We believe strong teams are built by people with different backgrounds, experiences, and points of view. Salmon is an equal opportunity employer, and we make hiring decisions based on skills, experience, and potential.

Source · Salmon GroupFirst seen 7 NovOriginal ↗