Himalayas · Partner listing

Senior Data Engineer

Jimmy Technologies

⌖ United KingdomSalary not providedRemoteContract · Not specified

Location & working arrangement

Working arrangement is supplied by the provider. Check the original advert for attendance and travel requirements.

Provider location / applicant eligibility: Albania, Andorra, Austria, Belarus, Belgium, Bosnia and Herzegovina, Bulgaria, Croatia, Cyprus, Czechia, Denmark, Estonia, Faroe Islands, Finland, France, Germany, Gibraltar, Greece, Guernsey, Holy See (Vatican City State), Hungary, Iceland, Ireland, Isle of Man, Italy, Jersey, Kosovo, Latvia, Liechtenstein, Lithuania, Luxembourg, Malta, Moldova, Monaco, Montenegro, Netherlands, North Macedonia, Norway, Poland, Portugal, Romania, San Marino, Serbia, Slovakia, Slovenia, Spain, Svalbard and Jan Mayen, Sweden, Switzerland, Ukraine, United Kingdom, Åland Islands

About the role

We are looking for a Senior Data / Ingestion Engineer for our client, a consultancy that helps banks and insurers transform their operations through AI, automation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client. We're looking for an engineer with deep experience building robust ingestion pipelines for unstructured documents and integrating OCR and document extraction technologies. You will turn high volumes of insurance documents (PDFs, scans, emails, Office files) into structured, high-quality, AI-ready data that feeds downstream RAG and AI models. This is a long-term remote-first contract position for candidates based in Europe. Responsibilities Design and implement scalable pipelines for ingesting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint). Build connectors to document sources such as SharePoint and email. Integrate, configure, and optimise OCR and document parsing technologies to extract high-accuracy text and layouts. Build automated workflows for text cleaning, normalisation, semantic chunking, and metadata tagging. Design vector storage schemas and robust retrieval mechanisms (RAG) to feed downstream AI models. Ensure document processing pipelines meet enterprise security and low-latency SLA requirements. Build automated error monitoring and extraction validation loops that flag low-confidence OCR outputs. Apply engineering best practices across the pipeline lifecycle: version control, CI/CD, and testing. Work Conditions Start Date: ASAP Location: Remote within Europe (CEE preferred) Long-term contract-based role: until July 2027 with possible extension Contract with EU LCC Requirements 5–10 years' experience in data engineering. Proven experience building data processing and document ingestion pipelines on public cloud platforms. Hands-on experience processing unstructured documents (PDF, Word, Excel, PowerPoint, scans, emails). Experience building connectors to enterprise sources such as SharePoint and email. Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent. Strong engineering practices: Git, CI/CD, automated testing. Experience in banking or insurance is an advantage. Technical Requirements Mandatory Python, SQL AWS: S3, Step Functions, CloudWatch OCR / document extraction: AWS Textract or equivalent Unstructured document processing and ingestion pipelines Git, CI/CD, testing Nice to have Vector databases and RAG architectures Azure, Databricks Financial services / insurance domain experience Highlights If you are passionate about turning unstructured documents into AI-ready data, and want to help leading financial institutions fight financial crime with AI, this role is for you! Originally posted on Himalayas

Skills mentioned in the listing

ExcelPowerPointAnti-money launderingKnow your customerFraud preventionPythonSQLGitAWSAzureCI/CDDatabricksData engineering

Recognised skills are extracted from the supplied description using canonical names and aliases. They are mentions, not verified essential requirements. Check the source advert for the employer’s full requirements and location restrictions.

Why these skills appear

Excel · mentioned
esting high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint). Build connectors to document sources such as SharePoint and email. Integrate, configure, and optimise OCR and docume

PowerPoint · mentioned
high-volume unstructured insurance documents (PDFs, scans, emails, Word, Excel, PowerPoint). Build connectors to document sources such as SharePoint and email. Integrate, configure, and optimise OCR and document pars

Anti-money laundering · mentioned
anced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client. We're looking for an engineer with deep ex

Know your customer · mentioned
analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client. We're looking for an engineer with deep experie

Fraud prevention · mentioned
utomation, and advanced analytics, with a strong focus on Anti-Financial Crime (fraud prevention, AML, KYC) and enterprise AI platforms. You will join their delivery for a Dutch insurance client. We're looking for an eng

Python · desirable
ce in banking or insurance is an advantage. Technical Requirements Mandatory Python, SQL AWS: S3, Step Functions, CloudWatch OCR / document extraction: AWS Textract or equivalent Unstructured document processing

SQL · desirable
nking or insurance is an advantage. Technical Requirements Mandatory Python, SQL AWS: S3, Step Functions, CloudWatch OCR / document extraction: AWS Textract or equivalent Unstructured document processing and ing

Git · desirable
n / OCR tools, e.g. AWS Textract or equivalent. Strong engineering practices: Git, CI/CD, automated testing. Experience in banking or insurance is an advantage. Technical Requirements Mandatory Python, SQL AWS:

AWS · requirement-context
nt and email. Practical experience with document extraction / OCR tools, e.g. AWS Textract or equivalent. Strong engineering practices: Git, CI/CD, automated testing. Experience in banking or insurance is an advant

Azure · desirable
Git, CI/CD, testing Nice to have Vector databases and RAG architectures Azure, Databricks Financial services / insurance domain experience Highlights If you are passionate about turning unstructured documents

CI/CD · desirable
pply engineering best practices across the pipeline lifecycle: version control, CI/CD, and testing. Work Conditions Start Date: ASAP Location: Remote within Europe (CEE preferred) Long-term contract-based role: un

Databricks · desirable
CI/CD, testing Nice to have Vector databases and RAG architectures Azure, Databricks Financial services / insurance domain experience Highlights If you are passionate about turning unstructured documents into A

Data engineering · requirement-context
le extension Contract with EU LCC Requirements 5–10 years' experience in data engineering. Proven experience building data processing and document ingestion pipelines on public cloud platforms. Hands-on experien