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.
Due to our continuous success and high demand from our customers, we are looking for a Big Data Tech Lead with a proven track record to join the Quantexa family. ????
Manage, transform, and cleanse high volume data.
Write defensive, fault tolerant and efficient code for data processing.
Automate data processing to enable on-going alerts on high-risk activity.
Present 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, on their sites.
Work with our expert software development team to produce reusable applications.
Collaborate on scalability issues involving access to massive amounts of data and information.
Leading a team and mentoring junior engineers.
Proven big data experience, either from an implementation or a data science prospective.
Excellent technical skills including expert knowledge of at least one big data technology such as Spark, Hadoop, or Elasticsearch.
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.
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
Strong academic qualifications, high quality degree (2:1 or above) or equivalent.
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.
Have worked on a variety of complex data orientated projects for financial services clients.
Have a good understanding of Computer Science and preferable come from a software engineering background or other scientific degree incorporating IT modules (e.g. Have exposure to Agile, especially SCRUM.
Git, Gradle, Jenkins, Nexus) as well as technologies supporting automation and DevOps (e.g. Have an excellent appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this.
What makes you Q will help you to realize your full potential, flourish and enjoy what you do, while being recognized and rewarded with our broad range of benefits.
Private healthcare, Life Insurance & Income Protection
Great WeWork Office Space & Company wide socials
To help businesses grow. To make data easier. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. Heading in one direction – the future.
Qualified applications will receive consideration for employment without regard to their race, colour, ancestry, religion, national origin, sex, sexual orientation, gender identity, age, citizenship, marital, disability, or veteran status. Whoever you are, if you’re a curious, caring, and authentic human being who wants to help push the boundaries of what’s possible, we want to hear from you.
Internal pay equity across departments is crucial to our global compensation philosophy. Grade level and salary ranges are determined through interviews and a review of experience, education, training, knowledge, skills, and abilities of the applicant, equity with other team members, and alignment with market data.
Quantexa is committed to providing reasonable accommodations in our talent acquisition processes. If you require support, please inform our Talent Acquisition Team.
