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Your next-day delivery service online. Innovation that moves E-commerce.
The Role
Rebuild Bosta’s data platform from MongoDB CDC and ingestion through lakehouse, warehouse, dbt, semantic-layer, BI, and AI consumers. Responsibilities include architecture, scalable CDC pipelines, orchestration, dbt governance, canonical metrics, LLM readiness, observability, and migrating Tableau and Metabase logic into governed models. The role requires hands-on development across data and analytics engineering, including Python, SQL, cloud warehouses, infrastructure, CI/CD, and AI-enabled analytics workflows.
Summary Generated by Built In
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
- 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
Bonus:
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
Skills Required
- 4+ years of experience across data engineering and/or analytics engineering, with meaningful experience in both areas
- Experience shipping production data pipelines and spanning the modern data stack
- Deep dbt and SQL experience, including ownership of a substantial dbt project
- Production CDC experience using Debezium, Kafka Connect, Airbyte, or a custom implementation
- Deep expertise with at least one cloud warehouse: Redshift, Snowflake, BigQuery, or Databricks
- Strong Python skills
- Comfort working in Linux, infrastructure-as-code, and CI/CD environments
- Working understanding of LLM tooling, including RAG, NL-to-SQL, and embedded agents, in data-platform contexts
- MongoDB production CDC experience
- Experience with production semantic-layer rollouts such as dbt Semantic Layer, Cube, LookML, or MetricFlow
- Experience with lakehouse formats or streaming technologies, including Iceberg, Delta, Hudi, Kafka, Flink, or Kinesis
- Experience with data catalog or lineage tools such as DataHub, Atlan, or Collibra
- Experience in logistics, marketplaces, or operationally complex domains
- Experience evaluating AI-generated SQL or analytical reasoning
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The Company
What We Do
Established in 2017, Bosta is a pioneering tech-driven logistics company providing next-day delivery and fast transfer services to e-commerce businesses across Egypt, Saudi Arabia, and the UAE. By leveraging cutting-edge technology and streamlining operations, we are committed to disrupting the logistics industry. Our all-in-one delivery solutions blend innovation with expert knowledge, enabling us to meet the evolving needs of businesses and empower them to grow in a fast-paced market.
