Data Engineer

Data Engineer - London or Bournemouth

Our client is an award winning, dynamic and vibrant financial services provider. Due to promotion they have a vacancy for a data engineer to work in either their London or Bournemouth office. The role offers a combination of work from home and office based.

Role

The Data Engineer role will be responsible for delivering the underlying data and APIs to support the implementation of innovative machine learning applications. You will enjoy working with rich datasets, cutting edge technology and help shape new data science projects in an innovative company.  The right candidate will possess a desire to work in fast-paced environment, with the ability to consistently deliver exceptional results on demanding timelines. 

Responsibilities

• Work with Data Scientists to implement robust and trustworthy data to support high performance
• algorithms and predictive models
• Deploy and maintain machine learning models as APIs for use in our live environments
• Employ a variety of languages and tools (e.g. scripting languages) to develop and manage
• robust data pipelines connecting various systems
• Develop datasets and processes that facilitate data modelling, mining and production
• Provide clean, usable data to data scientists and recommend ways to improve data reliability, efficiency and quality
• Research opportunities for data acquisition and new uses for existing data
• Work collaboratively with the Data Science, Data Architecture and other IT delivery teams to design, construct, install, test and maintain highly scalable data management systems.

Skills 

Essential

• Bachelor’s degree in Information Technology/Systems/Sciences/Maths
• Strong experience in business intelligence, data warehousing, data management and data delivery, database and ETL technologies
• Experience using languages / tools / databases such as SQL and NoSQL, Python, Nifi, Docker.
• Strong technical experience in designing and delivering data in BI warehouse and/or Big Data Lakes, supporting on premise and cloud architecture
• Microsoft SQL Server technologies
• Hands-on/technical experience with high proficiency on Big Data technology and toolsets
• Experience developing, deploying and maintaining machine learning APIs – using flask and java springboot
• Experience working with data scientists or quantitative / statistical analysts
• Experience working with AWS EMR

Desirable

• Prior experience on Big Data appliances like Hadoop.
• Prior experience in using Agile methodology
• Understanding of data architecture & modelling
• Previous insurance or financial services industry experience
• Open Source ETL tools (Jupyter, Spark)

Please send your CV to apply for this position