Principal 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. 8 years, 15 locations 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.

Due to the continuous success and high demand from our customers, we are looking for a Principal Data Engineer with a proven track record to join the Quantexa family.

What does a Principal Data Engineer role at Quantexa look like?

In order to be a successful Principal Data Engineer Lead at Quantexa, you'll need to be comfortable guiding and mentoring a team of engineers and dealing with both internal and external stakeholders. You will be responsible for a team tasked with 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. We're looking for hands-on technical leaders who are comfortable splitting their time between coding and managing the engineering team.

Being Agile is an integral part to the success we have at Quantexa and leading regular team sprints and Scrum meetings with your engineering 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 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:

• Leading a team and mentoring junior engineers.

• Guiding team members through technical issues and challenges.

• Ensuring that engineers are following best practices and standards.

• Leading SCRUM ceremonies and fostering a collaborative and fun working environment that values high performance and continuous improvement.

• 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.