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Senior Data Engineer – AI Document Processing (Azure, Databricks, Python, Spark)

Ascent | IT Services and Consulting
2h 54m ago
On-site
Full Time
IC

About Us  
Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organizations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. 

About the role 
We are looking for an experienced Data Engineer to join a team that handles document processing in a large enterprise, regulated environment. You will align several platform teams to ensure timely delivery and dependency management. 

Required skills  

  • Solid data architecture skills 

  • Solid Cloud/DevOps skills (Azure dominant environment) 

  • Expert level skills in Python, Databricks and Spark  

  • Experience in AI-ready document processing experience  

  • Experience with LLM orchestration, operations and building of test and monitoring of LLM outputs, ideally with Azure OpenAI interface 

Nice to have skills  

  • Azure Document Intelligence 

  • Databricks Workflows & Asset Bundles 

Why join us  

People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. 

If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics.

For more details about Acuity Analytics please see here: Read here.

Required Skills

pythondatabrickssparkazureazure_openai

Required Languages

🇬🇧 English

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2h 54m ago

Senior Data Engineer – AI Document Processing (Azure, Databricks, Python, Spark)

Ascent·IT Services and Consulting
pythondatabrickssparkazureazure_openai
🏢On-site
General Data Engineering
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