Data Engineer

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. 6 years, 10 locations and 500+ 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.

Due to the continuous success and high demand from our customers, we are looking for senior level Data Engineers with a proven track record to join the Quantexa family. We also have positions open for mid-level candidates looking for an opportunity to learn new skills and progress their careers in a dynamic and exciting start-up environment.

What does a Data Engineer role at Quantexa look like?

In order to be a successful 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 Tier 1 clients solve business problems in the area of fraud, compliance and financial crime.

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, Entity Resolution and Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. Our primary language is written in Scala, but don’t worry If that’s not currently your strongest language, we make sure that every Quantexan goes through our training academy so they’re comfortable and confident with using our platform.

Typical responsibilities include:

• Write defensive, fault tolerant and efficient code for data processing.
• Automate data processing to enable on-going alerts on high-risk activity.
• Participate in customer workshops and refinement sessions, presenting project results to clients both face to face and virtually.
• Work very closely with data scientists to ensure efficient and effective delivery of solutions.
• Use leading open source big-data tools, such as Spark, Hadoop, Scala and Elasticsearch. You should be comfortable with working with high profile clients, including on their sites.
• Work with our expert software development team to produce reusable applications.
• Use emerging and open-source technologies such as Spark, Hadoop, and Scala.
• Collaborate on scalability issues involving access to massive amounts of data and information.
• Take on ad-hoc tasks as required for the running of a small, yet rapidly expanding business.

Requirements

What do I need to have?

• Proven big data experience, either from an implementation or a data science prospective.
• Several years of hands-on experience working as part of an engineering development team, ideally in SCRUM.
• Arrive with experience at working with a variety of modern development tooling (e.g. Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Ansible, Chef, Puppet, Docker and a little bit of good old Bash scripting).
• Excellent technical skills including hands-on knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
• Experience with MVC frameworks such as AngularJS
• Experience of building data processing pipelines for use in production “hands off” batch systems, including either (or preferably both) traditional ETL pipelines and/or analytics pipelines.
• Strong coding experience in the likes of Scala, Java, or Python.
• Enthusiasm to learn and develop emerging technologies and techniques.
• Exhibit strong technical communication skills with demonstrable experience of working in rapidly changing client environments.
• Demonstrate strong analytical and problem-solving skills and the ability to debug and solve technical challenges with sometimes unfamiliar technologies.
• Strong academic qualifications and come from a software engineering background or other scientific degree incorporating IT modules (e.g. Maths/Physics).

Benefits

Why join Quantexa?

We know that just having an excellent glass door rating isn’t enough, so we’ve put together a competitive package as a way of saying thank you for all your hard work and dedication.

We offer:

• Competitive salary
• Company bonus
• Private healthcare with Prudential plus life insurance and critical illness
• Free Calm App Subscription #1 app for meditation, relaxation and sleep ‍♀️
• Annual leave, national holidays + birthday off!
• Ongoing personal development
• Great WeWork Office Space & Company wide socials

Quantexa is proud to be an Equal Opportunity Employer. We’re dedicated to creating an inclusive and diverse work environment, where everyone feels welcome, valued, and respected. We want to hear from people who are passionate about their work and align with our values. Regardless of race, beliefs, colour, national origin, gender, sexual orientation, age, marital status, neurodiversity or ableness – whoever you are, if you’re a curious, caring, and an authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.