Senior Data Engineer (Python)

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    "datePosted": "2025-06-16",
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    "description": "<p><span style=\"font-family: Inter, sans-serif; font-size: 14pt; font-weight: bold\">Senior Data Engineer</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">We are seeking strong <span style=\"font-weight: bold\">Data Engineers</span> 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 <span style=\"font-weight: bold\">data ingestion, ETL, </span>AI-generated dashboards, and multi-agent analytical systems used by investment clients in the UAE and beyond.</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">This is not a traditional Spark-only pipeline role. We are looking for a <span style=\"font-weight: bold\">Python-strong, AI-aware Data Engineer</span> 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.</span></p>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">The impact you'll make:</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Build and maintain end-to-end <span style=\"font-weight: bold\">data ingestion and ETL pipelines</span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Ingest structured and unstructured data from APIs, Snowflake, Oracle, documents, and market data providers</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Develop production-quality Python services and data workflows</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Orchestrate pipelines using Kubernetes and workflow tools</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Apply clean architecture and strong engineering design patterns</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Ensure data quality, reliability, and security</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Design schemas and transformation layers for analytics and AI agents</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Prepare data for <span style=\"font-weight: bold\">AI and RAG systems</span> (chunking, embeddings, retrieval pipelines)</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">What you'll bring to us:</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Strong <span style=\"font-weight: bold\">Python</span> (advanced, production-grade)</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Advanced <span style=\"font-weight: bold\">SQL</span></span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">ETL/ELT pipeline design and orchestration (Airflow, ADF, Databricks or similar)</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with <span style=\"font-weight: bold\">RAG systems</span>, embeddings, and vector databases</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Hands-on experience with Cloud providers (Microsoft Azure desired)</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Document parsing and unstructured data processing</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with data lakehouse architectures</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">API and database integrations</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Kubernetes-based workloads</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Nice to Have Experience:</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience with Snowflake and Oracle</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Streaming systems (Kafka, Event Hubs)</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Data Lakehouse architectures</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">LLM evaluation and prompt engineering</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Experience building AI or data platforms</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Location:</span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\"> </span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">This role can be based in Spain, Serbia, or Dubai. </span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt; font-weight: bold\">Some of the benefits you’ll enjoy working with us:</span></p>\n<ul>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">The chance to join an organization with triple-digit growth that is changing the paradigm on how software products are built.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">The opportunity to form part of an amazing, multicultural community of tech experts.</span></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">A highly competitive compensation package.</span><br></li>\n<li><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Medical insurance.</span></li>\n</ul>\n<p><br></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Come and join our #ParserCommunity. </span></p>\n<p><span style=\"font-family: Inter, sans-serif; font-size: 12pt\">Follow us on <a href=\"https://www.linkedin.com/company/parser/\" target=\"_blank\" rel=\"noopener noreferrer\">Linkedin</a></span></p>",
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