Bosta

Egyptian next-day logistics and courier services

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeCairo, Cairo Governorate, EgyptNo salary listedHybrid

About the Job

Requirements

At least 4 years of experience across data engineering and/or analytics engineering, with meaningful experience on both sides.
Comfort shipping across the data stack, including a Debezium connector and a dbt mart.
Deep dbt and SQL expertise, including ownership of a non-trivial project.
Production change data capture (CDC) experience using Debezium, Kafka Connect, Airbyte, or a hand-rolled approach against operational databases.
Deep knowledge of a cloud warehouse such as Redshift, Snowflake, BigQuery, or Databricks.
Strong Python skills and comfort with Linux, infrastructure as code, and continuous integration and continuous delivery (CI/CD).
Working understanding of how large language model (LLM) tooling, including retrieval-augmented generation (RAG), natural-language-to-SQL (NL-to-SQL), and embedded agents, consumes a data platform and what fails when the platform is not ready.

Responsibilities

Build end-to-end pipelines spanning MongoDB change data capture (CDC), ingestion, lakehouse, warehouse, dbt, semantic layer, and business intelligence (BI) and artificial intelligence (AI) consumers.
Co-own architecture decisions with the Data Engineering Lead.
Build CDC from production MongoDB without degrading operational database performance, and create ingestion patterns that make adding a new source a configuration change rather than a project.
Implement orchestration that is observable end to end using Airflow, Dagster, or Prefect.
Own the dbt project structure, conventions, tests, contracts, exposures, and continuous integration (CI).
Build the semantic and metrics layer using dbt Semantic Layer, Cube, or an equivalent, with one canonical definition per business metric.
Prepare the platform for LLM usage through column-level documentation, personally identifiable information (PII) tagging, query cost guardrails, materialized metric tables, and evaluations of AI-generated SQL.
Migrate existing logic from Tableau and Metabase into modeled, governed sources.

Desired Qualifications

MongoDB schema evolution at scale.
Production semantic-layer rollouts using dbt Semantic Layer, Cube, LookML, or MetricFlow.
Experience with lakehouse formats such as Iceberg, Delta, or Hudi, or streaming technologies such as Kafka, Flink, or Kinesis.
Experience with data catalog or lineage tools such as DataHub, Atlan, or Collibra.
Experience in logistics, marketplaces, or other operationally heavy domains.
Experience evaluating AI-generated SQL or analytical reasoning.
Production CDC experience against MongoDB.

About Bosta:

Launched in 2017, Bosta is an overnight delivery provider for E-commerce companies in Egypt. Leveraging technology to empower businesses is what we do best. Our goal is to disrupt the logistics industry by bringing technology and experience all together to provide a one-stop-shop for delivery solutions.

We rely on advanced technology to deliver orders to our customers in a fast way. Businesses can track and connect with couriers and follow up on their orders - all in one system.

About the role:

We’re rebuilding Bosta’s data platform end-to-end: from MongoDB at the source, through a governed semantic layer that LLM-native tools (NL-to-SQL agents, AI analysts, embedded copilots) can sit on top of safely and cheaply. You will help own that rebuild.This is a hands-on role. You’ll set patterns, write the foundational code, and ship across the stack — from CDC and ingestion through dbt, the semantic layer, and the interfaces that BI tools and AI agents consume.

Job Responsibilities

End-to-end pipeline work: MongoDB CDC → ingestion → lakehouse → warehouse → dbt → semantic layer → BI/AI consumers
Co-ownership of architecture decisions with the Data Engineering Lead
CDC from production MongoDB without degrading operational DB performance; ingestion patterns that make adding a new source a config change, not a project
Orchestration that’s observable end-to-end (Airflow, Dagster, or Prefect)
The dbt project: structure, conventions, tests, contracts, exposures, CI
The semantic / metrics layer (dbt Semantic Layer, Cube, or equivalent) — one canonical definition per business metric
LLM-readiness: column-level documentation, PII tagging, query cost guardrails, materialized metric tables, and evals on AI-generated SQL
Migration of existing logic out of the Tableau and Metabase sprawl into modeled, governed sources

Job Qualifications

4+ years across data engineering and/or analytics engineering — you’ve spent meaningful time on both sides
Comfort spanning the stack: comfortable shipping a Debezium connector one week and a dbt mart the next
Deep dbt and SQL — you’ve owned a non-trivial project, not just contributed to one
Production CDC experience (Debezium, Kafka Connect, Airbyte, or hand-rolled) against operational databases — bonus if that database was MongoDB
A cloud warehouse you know deeply (Redshift, Snowflake, BigQuery, or Databricks)
Strong Python; comfortable in Linux, infra-as-code, and CI/CD
Working understanding of how LLM tooling (RAG, NL-to-SQL, embedded agents) consumes a data platform — and what breaks when the platform isn’t ready
Strong opinions on modeling, lightly held; bias toward observability

Bonus:

MongoDB schema evolution at scale
Production semantic-layer rollouts (dbt Semantic Layer, Cube, LookML, MetricFlow)
Lakehouse formats (Iceberg, Delta, Hudi) or streaming experience (Kafka, Flink, Kinesis)
Data catalog / lineage tooling (DataHub, Atlan, Collibra)
Logistics, marketplaces, or other operationally heavy domains
Evals on AI-generated SQL or analytical reasoning

Thank you for considering Bosta as your next career step. We value every application we receive, and our selection process is designed to ensure the best fit for both our team and our candidates. We appreciate your patience throughout the process

About the Company

Bosta

Egyptian next-day logistics and courier services

Bosta provides next-day courier and logistics services in Egypt for businesses, handling pickup, transit, and last-mile delivery. Its platform offers real-time tracking and optional cash collection to streamline operations. It differentiates itself by pairing fast, nationwide delivery with tracking insights and cash handling for a wide range of clients, from e-commerce to traditional businesses, at competitive prices. The goal is to improve Egypt’s logistics experience by delivering reliable, fast, and affordable delivery solutions for businesses of all sizes.

Company size: 1,001-5,000
Company stage: Series A
Total funding: $8.8M
Headquarters: Cairo, Egypt
Founded: 2016

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