Data Engineer
Salmon Group · Kazakhstan · S$1,000/month (stated in the posting)
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
Own projects end to end — from stakeholder alignment and design review through implementation, launch, and ongoing support.
Build self-service data solutions that let other teams deliver their own data needs, designed to scale and extend easily as new sources and use cases are added.
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, cluster configurations, and the underlying infrastructure — security policies, resources, and access — responding to failures and performance issues.
Implement data governance and access control with Unity Catalog across accounts and environments, including handling of PII.
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.
Proven ownership — you've run projects where you knew the weak points, gathered feedback, and made your solutions easy to scale and maintain.
Experience writing clean, testable, maintainable code with Git-based version control.
Experience with infrastructure-as-code such as Terraform or Ansible is a plus — not required, and easy to pick up on the job.
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
More jobs at Salmon Group · Data & Analytics jobs in Kazakhstan