Data Engineer
Build the data platform behind transaction analytics for tens of millions of mobile wallet customers.
186 roles across 160 companies — filter by region or category.
Showing 20 of 20 matching positions (1–20)
Clear filtersBuild the data platform behind transaction analytics for tens of millions of mobile wallet customers.
Own the lakehouse and streaming infrastructure underneath BRAC's programmes and platforms, with an eye on cost and freshness.
Model warehouse data into tested, documented datasets the whole company trusts when analysing Chaldal's commerce platform.
Build the ingestion, storage and query layers that every team uses to reason about Enosis Solutions's product suite.
Optimise inference throughput and cost for the models running behind Nagad's financial platform.
Own the transformation layer and semantic definitions behind reporting on Nagad's financial platform.
Own the transformation layer and semantic definitions behind reporting on Praava Health's healthcare platform.
Build the ingestion, storage and query layers that every team uses to reason about Robi Axiata's network and digital services.
Own the modelling loop behind Sheba.xyz's marketplace — features, training pipelines, offline evaluation and online experiments.
Own the lakehouse and streaming infrastructure underneath Therap Services's healthcare platform, with an eye on cost and freshness.
Own funnel, retention and feature adoption analysis for bKash's financial platform.
Model user and system behaviour on bKash's financial platform and turn the findings into decisions the team acts on.
Own funnel, retention and feature adoption analysis for Robi Axiata's network and digital services.
Collect and analyse programme data to measure development outcomes across large-scale interventions.
Analyse ride demand patterns and delivery metrics to optimize pricing and driver allocation strategies.
Analyse order patterns and inventory data to reduce stockouts and optimize warehouse operations.
Develop NLP models that assist in converting physician-patient conversations into structured clinical notes.
Analyse subscriber behaviour and network usage patterns to inform commercial and capacity planning decisions.
Build dashboards and analyse field data to measure the impact of education and livelihood programmes.
Analyse transaction patterns and customer usage data to inform product and risk decisions.
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