09/21/2026 updated
100 % available
Senior Backend & Data Engineer
Ksar el-Kebir, Morocco
Only remote
Master's in Data Science & BioinformaticsAbout me
- Data platforms: ETL/ELT, Airflow, Dagster, dbt, Snowflake, ClickHouse, Postgres - Scraping at scale: APIs, Puppeteer, proxies, anti-bot, LLM extraction - Unattended pipelines: Python, Docker, Terraform, CI/CD - Data quality, semantic layers, Tableau/Metabase
DagsterdbtSql Data WarehouseApplication Programming Interfaces (APIs)Apache AirflowData AnalysisGoogle BigQueryContinuous DeliveryContinuous IntegrationWeb ScrapingExtract Transform Load (ETL)Python (Programming Language)SQL DatabasesSalesforce TableauDatadog
Backend Development & REST APIs
Extensive experience building and maintaining production-grade REST APIs and backend services using Python, Node.js/TypeScript, and PHP/Laravel, with a focus on microservices architecture and task queues.
Data Engineering & Pipeline Development
Strong background in designing and building event-driven data pipelines orchestrated with Airflow, using async Python workers, task queues, and storing data in Postgres and ClickHouse, including LLM-based extraction from unstructured content.
Infrastructure as Code & CI/CD
Hands-on experience managing infrastructure as code with Terraform, running Docker-based CI/CD pipelines, and monitoring systems with Datadog to ensure reliability and reduce pipeline failures.
Database Management & Query Optimization
Proficiency with Postgres, MongoDB, ClickHouse, and Redis, including query optimization through indexing and rewrites, improving average query performance by approximately 40%.
Web Scraping & Platform Integrations
Experience building and maintaining scrapers and platform integrations against unreliable sources, handling proxies, rate limits, anti-bot measures, and frequently changing endpoints.
IoT & MQTT Integration
Project experience with industrial IoT platforms, handling device data ingestion over MQTT, webhooks, and API polling into ThingsBoard dashboards.
Data Monitoring & Observability
Implementation of freshness, volume, schema, and value checks with Datadog alerting, and standardised error handling across services to ensure data quality and system reliability.
Cloud & Data Warehousing Tools
Familiarity with Snowflake, Dagster, and Airflow for orchestrating and managing data workflows in scalable cloud environments.
Extensive experience building and maintaining production-grade REST APIs and backend services using Python, Node.js/TypeScript, and PHP/Laravel, with a focus on microservices architecture and task queues.
Data Engineering & Pipeline Development
Strong background in designing and building event-driven data pipelines orchestrated with Airflow, using async Python workers, task queues, and storing data in Postgres and ClickHouse, including LLM-based extraction from unstructured content.
Infrastructure as Code & CI/CD
Hands-on experience managing infrastructure as code with Terraform, running Docker-based CI/CD pipelines, and monitoring systems with Datadog to ensure reliability and reduce pipeline failures.
Database Management & Query Optimization
Proficiency with Postgres, MongoDB, ClickHouse, and Redis, including query optimization through indexing and rewrites, improving average query performance by approximately 40%.
Web Scraping & Platform Integrations
Experience building and maintaining scrapers and platform integrations against unreliable sources, handling proxies, rate limits, anti-bot measures, and frequently changing endpoints.
IoT & MQTT Integration
Project experience with industrial IoT platforms, handling device data ingestion over MQTT, webhooks, and API polling into ThingsBoard dashboards.
Data Monitoring & Observability
Implementation of freshness, volume, schema, and value checks with Datadog alerting, and standardised error handling across services to ensure data quality and system reliability.
Cloud & Data Warehousing Tools
Familiarity with Snowflake, Dagster, and Airflow for orchestrating and managing data workflows in scalable cloud environments.
Experience
Professional experience0 - 5 years
Freelancer since2021
Languages
EnglishFluentFrenchFluent
Project history
Developed an industrial IoT platform for live monitoring of door operations, with device data coming in over MQTT, webhooks, and API polling into ThingsBoard dashboards.
Owned the data platform behind a B2B media intelligence product, from data collection through to the APIs the product runs on. Rebuilt ingestion as event-driven pipelines orchestrated with Airflow using async Python workers and task queues, storing into Postgres and ClickHouse. Built and maintained scrapers and platform integrations. Used LLM-based extraction to pull structured data from unstructured content. Added monitoring with Datadog alerting and standardised error handling, reducing pipeline failures by over 60%. Managed infrastructure as code with Terraform, ran Docker-based CI/CD, and led a team of 4 engineers.
Built and maintained production services and REST APIs in Python and Node.js/TypeScript for a German-market SaaS platform. Designed data flows between microservices using MongoDB and Postgres. Improved average Postgres query performance by approximately 40% through indexing and query rewrites. Cut maintenance overhead by 25% by decoupling services, automating monitoring, and moving releases to Docker-based CI/CD.