Data Engineer

Small and medium-size enterprises (SME) are one of the biggest drivers of growth and innovation in economies all over the world. Despite these companies being a powerful force in the economy, many SMEs find it difficult to raise capital during critical stages of their company growth. Traditional commercial lending is optimised to make loans that are either too small to be effective or too large and expensive to be practical. At OakNorth, our mission is to help lenders fill this gap which we refer to as the “Missing Middle.” We are building a SaaS platform called the Credit Intelligence Suite which transforms commercial lending by helping banks build deeper relationships with their clients, open new, more profitable opportunities, whilst delivering credit decisions up to ten times faster than traditional models, with lower risk and greater efficiency. 
Data Engineer will be responsible for Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

Job Responsibilities

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.
• Build analytics tools that utilize the data pipeline to provide actionable insights.
• Work with stakeholders including the Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

Desired Skills

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• Experience with big data tools: Hadoop, Spark, Kafka, etc.
• Experience with relational SQL and NoSQL databases, including Postgres.
• Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
• Experience with AWS cloud services: EC2, EMR, RDS, Redshift
• Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc

SHORT DESCRIPTION

• You will be responsible for Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources

About OakNorthSmall and medium-size enterprises (SME) are one of the biggest drivers of growth and innovation in economies all over the world. Despite these companies being a powerful force in the economy, many SMEs find it difficult to raise capital during critical stages of their company growth. Traditional commercial lending is optimised to make loans that are either too small to be effective or too large and expensive to be practical. At OakNorth, our mission is to help lenders fill this gap which we refer to as the “Missing Middle.” We are building a SaaS platform called the Credit Intelligence Suite which transforms commercial lending by helping banks build deeper relationships with their clients, open new, more profitable opportunities, whilst delivering credit decisions up to ten times faster than traditional models, with lower risk and greater efficiency. 
Our InvestorsOakNorth Holdings (the group which includes OakNorth Bank plc and the various OakNorth software entities around the world) has raised over $1bn from leading investors, including: Clermont Group, Coltrane, EDBI of Singapore, GIC, NIBC, SMBC, Toscafund, and SoftBank’s Vision Fund.   
We have ambitious goals for this platform, and to help us realise them we’re looking for experienced software engineers who are just as focused on the product side of engineering as they are on the technical. You’ll be joining our global engineering team, which is less than 100 engineers, to make a big impact on the direction of our technology platform and most importantly, on the day-to-day workflows of our customers. 
Our CustomersIn addition to OakNorth’s own bank in the UK, the software is also being deployed by banks around the world, including: Capital One, Fifth Third, PNC, SMBC, Customers Bank, Old National Bank, Modern Bank, and Lafayette Square in the US, and ABN Amro, NIBC and OIMIO in Europe.   
Thank you very much for your interest in OakNorthWe are happy to consider you for roles within our group of companies. If we can identify a match between your skill set and our immediate recruiting needs, please expect to hear from us very soon. If we are unable to identify a fit in the near term, please note that we intend to retain the data you send to us so we may contact you in the future.
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