Data Intern
What we're looking for
We are seeking a talented, endlessly curious individual to join our team. You'll be working closely with
our group of companies in the fintech sector as part of the Engineering department. This company is a leading B2B fintech platform in its field, processing over US$2B across multiple currencies annually.
We're looking for individuals who are driven to create meaningful value, take full ownership of what
they build, and thrive in a fast-paced, high-growth environment. If you're motivated by impactful work
and eager to be part of an innovative team, we'd love to hear from you.
What you’ll do
Write, optimise, and maintain SQL queries against a large analytics warehouse (ClickHouse) supporting reporting across payments, settlement, and merchant activity
Build and maintain dashboards in Superset, along with existing reports in Metabase and Redash,
ensuring numbers are accurate, fast, and trusted by the businessOwn ad-hoc data requests end to end from ops, product, finance, and risk teams: clarify the
question, produce the answer, and explain it in plain languageSupport the data warehouse layers (raw, staging, fact and dimension, mart) and help maintain
dbt models under guidance from the data engineering teamContribute to the query and dashboard audit: identify unused, heavy, or over-frequent queries
and help clean them up to control warehouse cost and improve reliabilitySupport automated alert and monitoring workflows (n8n) covering ledger imbalances, gateway
balances, and reconciliation differencesRun basic data quality checks and help investigate discrepancies between source systems and the
warehouseDocument queries, dashboards, and data definitions so work is reusable and handover is clean
Collaborate cross-functionally with engineering, product, and operations teams to understand what the data actually needs to answer
What you should have
Pursuing or recently completed a Bachelor's degree in Computer Science, Statistics, Engineering, Information Systems, or a related field. Strong self-taught candidates with demonstrable project work are equally welcome
Strong SQL is mandatory: joins, aggregations, window functions, CTEs, and subqueries. You should be able to write a non-trivial query without assistance
Practical understanding of query optimisation. You can explain why a query is slow and what to do about it (filtering before joining, avoiding unnecessary scans, sensible indexing and partitioning)
Hands-on experience with at least one BI tool. Superset preferred; Tableau, Power BI, Metabase,
or Redash are also acceptableUnderstanding of data warehouse concepts and layered modelling
Attention to detail with numbers. You validate your own output before it reaches a stakeholder
Strong written and spoken English, with the ability to explain technical findings to non-technical
colleaguesOwnership mindset. You follow a request through to a usable answer rather than stopping at the query
Nice to have
Exposure to dbt or another transformation framework
Experience with columnar or cloud warehouses such as ClickHouse, BigQuery, or Snowflake
Automation or workflow tooling such as n8n, Zapier, or Airflow
Scripting in Python for data work (pandas, basic ETL)
Version control with Git
Interest in payments, fintech, fraud, or risk analytics
About Us
Xenith is a B2B payment service provider focused on enabling seamless cross-border commerce. With an MSB license in Canada and PJP III license in Indonesia, we offer global merchants a one-stop solution to manage multi-currency payments - with a strong focus on alternative payment methods in emerging markets. Our deep regional expertise and strong partnerships with top local gateways, we simplify the complexity of fragmented payment landscapes, helping global merchants expand faster and more efficiently. At Xenith, we believe in building a culture where people feel empowered, trusted, and challenged to do their best work. Join us as we build the financial infrastructure of tomorrow!
- Department
- Engineering
- Role
- Data Engineer
- Locations
- Indonesia
- Remote status
- Hybrid