Senior Data Engineer

at  Quantexa

Founded in 2016 with only a handful of individuals, Quantexa was built with a purpose that through a greater understanding of context, better decisions can be made. 7 years, and 700+ employees later we still believe that today. We connect the dots within our Customers data using dynamic entity resolution and advanced network analytics to create context, empowering businesses to see the bigger picture and drive real value from their data. Quantexa empowers organisations to drive better decisions from their data. Using the latest advancements in big data and AI, Quantexa uncovers hidden customer connections and behaviours to solve major challenges in financial crime, customer insight and data analytics.
Quantexa has accomplished rapid global expansion and achieved a valuation of $1.8 billion in April 2023 making us the first UK Unicorn business for 2023. Due to our continuous success and high demand from our customers, we are looking for a Senior Data Engineer with a proven track record to join the Quantexa family.
What does a Senior Data Engineer role at Quantexa look like?
In order to be a successful Senior Data Engineer at Quantexa, you’ll need to be comfortable dealing with both internal and external stakeholders. You will be managing, transforming and cleansing high volume data, helping our clients solve business problems in our ever-expanding list of areas including fraud, compliance, financial crime, data management, risk and customer intelligence.
Being Agile is an integral part to the success we have at Quantexa and having regular team sprints and Scrum meetings with your Projects team is essential. You’ll be working closely with Data Scientists, Business Analysts, Technical Leads, Project Managers and Solutions Architects, with everyone following the same goal of meeting our Clients expectations and delivering a first-class service.
We want our employees to use the latest and leading open source big-data technology possible. You will be using tools such as Spark, Hadoop, Scala, Data Fusion and Elasticsearch, with our platform being hosted on Google cloud (GCP). Our primary language is written in Scala, but don’t worry If that’s not your strongest language or if you haven’t used it before, we make sure that every Quantexan goes through our training academy so they’re comfortable and confident with using our platform.
Please note: This role is located for our office in Liverpool near the Liverpool Science Park building, but some work occurs on our clients’ sites. Quantexa is rapidly expanding into other territories and candidates interested in travel opportunities are encouraged.

REQUIREMENTS

• We’re looking for individuals who have proven big data experience, either from an implementation or a data science prospective.
• Healthcare experience is beneficial but not mandatory.
• The desire to learn and code in Scala
• Experience in working in an Agile environment
• Expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch
• A strong coding background in either Java, Python or Scala
• Good experience with testing libraries of common programming languages and can talk about how they used them – for example scalatest (or equivalent packages for other languages)
• Knows the difference between different test types ( unit test vs integration test for example) – can provide specific examples of one they have written themselves or oversaw when asked
• Can explain unit testing and how they have been automated – can provide specific examples relevant to their own code or project when asked
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either traditional ETL pipelines and/or analytics pipelines
• Passion and drive to grow within one of the UK’s fastest growing scale-ups
• Consulting or business facing skills and a desire to work with customers

Please refer the Job description for details