Jobs and Careers
BH
Senior Data Engineer
BHG FinancialUKRemotefull_timeVerifiedPosted 4 Sept 2025
About the role
Are you ready to join a growing team that puts a premium on productivity and has an award-winning culture centered around transforming talented employees into effective business leaders? Then BHG Financial is the place for you.
In 2001, we started with an idea, an opportunity, and $25,000. Back then, our focus was strictly on serving those in the medical industry. With healthcare in our heritage, we soon expanded to serve high-earning professionals in many other industries, providing all with leading-edge financial solutions, including our extensive network of community banks.
Today, BHG Financial has firmly established its legacy as a leader in the financial services space. Founded on the philosophy of a better way to borrow, we are dedicated to helping accomplished professionals, small businesses, and institutions build upon their success through innovative financial solutions, a hassle-free process, and personalized concierge service.
Our relentless commitment to the success of our customers is part of what has made BHG Financial thrive. We take a 360-degree view of our customers to tailor the best solutions for their financial aspirations. Today's professionals have multiple sources of income, not just their paycheck. Therefore, it is essential to factor those in when making responsible lending decisions. Our continued focus on data, analytics, and proprietary modeling has enabled faster funding for our customers.
From business to personal loans to relationships with community banks, the country’s top professionals and business owners rely on us for our exceptional financial solutions and concierge service to continue their success and legacy.
Who You AreYou are a motivated data engineering professional who is passionate about building cutting-edge data solutions in the Azure cloud. You excel at building cloud-native data assets that make analytics, predictive modeling, and AI integration easy, and have experience migrating on-premise data in SQL Server to the Azure cloud. You are passionate about helping power the next generation of AI applications by designing the data infrastructure that supports Retrieval-Augmented Generation (RAG) and large language models (LLMs), enabling more intelligent, context-aware systems across the organization. You are a consistent learner who is passionate, opinionated, and thrives in a fast-paced environment where you can be a driving force in helping BHG achieve its aggressive growth goals.
Why You Shoul
In 2001, we started with an idea, an opportunity, and $25,000. Back then, our focus was strictly on serving those in the medical industry. With healthcare in our heritage, we soon expanded to serve high-earning professionals in many other industries, providing all with leading-edge financial solutions, including our extensive network of community banks.
Today, BHG Financial has firmly established its legacy as a leader in the financial services space. Founded on the philosophy of a better way to borrow, we are dedicated to helping accomplished professionals, small businesses, and institutions build upon their success through innovative financial solutions, a hassle-free process, and personalized concierge service.
Our relentless commitment to the success of our customers is part of what has made BHG Financial thrive. We take a 360-degree view of our customers to tailor the best solutions for their financial aspirations. Today's professionals have multiple sources of income, not just their paycheck. Therefore, it is essential to factor those in when making responsible lending decisions. Our continued focus on data, analytics, and proprietary modeling has enabled faster funding for our customers.
From business to personal loans to relationships with community banks, the country’s top professionals and business owners rely on us for our exceptional financial solutions and concierge service to continue their success and legacy.
Who You AreYou are a motivated data engineering professional who is passionate about building cutting-edge data solutions in the Azure cloud. You excel at building cloud-native data assets that make analytics, predictive modeling, and AI integration easy, and have experience migrating on-premise data in SQL Server to the Azure cloud. You are passionate about helping power the next generation of AI applications by designing the data infrastructure that supports Retrieval-Augmented Generation (RAG) and large language models (LLMs), enabling more intelligent, context-aware systems across the organization. You are a consistent learner who is passionate, opinionated, and thrives in a fast-paced environment where you can be a driving force in helping BHG achieve its aggressive growth goals.
What You'll Do
- Build our next-generation, cloud-native Data Platform in Azure.
- Design and implement real-time and batch data pipelines that integrate with predictive models and AI applications.
- Develop and deploy microservices and data APIs in the cloud.
- Build enterprise-grade data assets that will be used across reporting, analytics, and data science functions.
- Partner with data scientists and ML engineers to productionalize AI/ML models.
- Build the data infrastructure required to support RAG (Retrieval-Augmented Generation) applications using LLMs.
- Design vectorized data pipelines and integrate with embeddings and model APIs to support AI use cases.
- Mentor other data engineers and analysts in data engineering best practices and emerging technologies in AI/ML.
What You'll Need
- 5+ years' experience with Apache Spark or Databricks
- 5+ years' experience working with relational and/or non-relational databases
- 2+ years’ experience developing data services/APIs with object-oriented programming practices
- Experience building near real-time data streaming solutions (Kafka or similar)
- Exposure to building or supporting AI/ML applications, especially those using LLMs (e.g., GPT, Claude, etc.)
- Experience working with vector databases, embeddings, and semantic search is a strong plus
- Key skills - Apache Spark/Databricks, Apache Kafka, Docker
- Proficiencies – Python, Spark, and SQL programming
- Degree in Computer Science, IT, or a similar field
Why You Shoul
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