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Parser

Senior Data Engineer (Python)

Posted 13 Days Ago
Be an Early Applicant
Remote or Hybrid
Hiring Remotely in Spain
Senior level
Remote or Hybrid
Hiring Remotely in Spain
Senior level
Design and build AI-driven data products and investment platforms, developing ETL pipelines, ensuring data quality, and integrating structured and unstructured data.
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Senior Data Engineer

We are seeking strong Data Engineers to help design and build next-generation AI-driven data products and investment intelligence platforms. This role sits at the foundation of new AI initiatives, where you will own and shape the data ingestion, ETL, AI-generated dashboards, and multi-agent analytical systems used by investment clients in the UAE and beyond.

This is not a traditional Spark-only pipeline role. We are looking for a Python-strong, AI-aware Data Engineer who can build production-grade ingestion and transformation systems that integrate structured and unstructured data sources, support RAG architectures, and run across cloud, hybrid, and on-prem environments.

The impact you'll make:

  • Build and maintain end-to-end data ingestion and ETL pipelines
  • Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers
  • Develop production-quality Python services and data workflows
  • Orchestrate pipelines using Kubernetes and workflow tools
  • Apply clean architecture and strong engineering design patterns
  • Ensure data quality, reliability, and security
  • Design schemas and transformation layers for analytics and AI agents
  • Prepare data for AI and RAG systems (chunking, embeddings, retrieval pipelines)

What you'll bring to us:

  • Strong Python (advanced, production-grade)
  • Advanced SQL
  • ETL/ELT pipeline design and orchestration (Airflow, ADF, Databricks or similar)
  • Experience with RAG systems, embeddings, and vector databases
  • Hands-on experience with Cloud providers (Microsoft Azure desired)
  • Document parsing and unstructured data processing
  • Experience with data lakehouse architectures
  • API and database integrations
  • Kubernetes-based workloads

Nice to Have Experience:

  • Experience with Snowflake and Oracle
  • Streaming systems (Kafka, Event Hubs)
  • Data Lakehouse architectures
  • LLM evaluation and prompt engineering
  • Experience building AI or data platforms

Location:

 

  • This role can be based in Spain, Serbia, or Dubai. 

Some of the benefits you’ll enjoy working with us:

  • The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.
  • The opportunity to form part of an amazing, multicultural community of tech experts.
  • A highly competitive compensation package.
  • Medical insurance.

Come and join our #ParserCommunity. 

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Top Skills

Adf
Airflow
Databricks
Elt
ETL
Event Hubs
Kafka
Kubernetes
Azure
Oracle
Python
Snowflake
SQL

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