Quantexa provides a Contextual Decision Intelligence platform using ML, NLP and graph-based entity resolution to link large structured/unstructured datasets for AML, KYC and fraud detection, deployable on-premises or private cloud.
What we’re all about. It isn’t often you get to be part of a tech company that, since 2016, has been innovating the data analytics market in ways no-one else can. Our technology started out in FinTech, helping tackle serious criminal activity. Now, its potential is virtually limitless. Working at Quantexa isn't just intellectually stimulating. We’re a real team. Collaborating and constantly engineering better and better solutions. We’re ambitious, we think things through and we’re on a mission to discover just how far we can go. Nearly half of our colleagues come from an ethnic or religious minority background. We’re made up of people from 47 nationalities who speak over 20 languages. As a diverse mix of individuals, we make one big unstoppable team. If our incredible culture sounds like you, we’d love you to join us. The opportunity. Our Quantexa Delivery team is all about contextualizing data. As a senior data engineer, you bring it all together. Working within a fast-paced team, you'll implement Quantexa’s innovative technology for an ever-expanding list of domains including banking, insurance, government, healthcare. From building an end-to-end data pipeline that uses our award-winning software, to configuring our decision-making platform to detect key insights, there’s always a new challenge around the corner. You’ll need to be a problem solver. The challenges we tackle are big, but they're also incredibly rewarding. Your contributions in managing, transforming, and cleansing high volume data help our clients solve business problems in areas including fraud, financial crime, data management, risk and customer intelligence. What you’ll be doing. - Writing defensive, fault tolerant and efficient code for production level data processing systems. - Configuring and deploying Quantexa software using tools such as Spark, Hadoop, Scala, Elasticsearch, with our platform being hosted on both private and public virtual clouds, such as Google cloud, Microsoft Azure and Amazon. - You’ll be a trusted source of knowledge for your clients. And you’ll articulate technical concepts to a non-technical audience so they can make key decisions. - Collaborate with both our solution architects and our R&D engineers to champion solutions and standards for complex big data challenges. You proactively promote knowledge sharing and ensure best practice is followed. What you’ll bring. - You’ll have a background in hands-on technical development, with at least three years of industry experience in a data engineering role or equivalent, and preferably at least four years of software industry experience. - Proficiency in Scala, java, python, or a programming language associated with data engineering. Our primary language is Scala, but don’t worry if that’s not currently your strongest language. We believe that strong engineering principles are universal and transferable. - As an expert in building and deploying production level data processing batch systems, you’ll share an appreciation of what makes a high quality, operationally stable system and how to streamline all areas of development, release, and operations to achieve this. - Experience with a variety of modern development tooling (e.g. Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g. Jenkins, Docker and a little bit of good old Bash scripting). You’ll be familiar with developing within a version-controlled process that regularly makes use of these tools and technologies. - A strong technical communication ability with demonstrable experience of working in rapidly changing client environments. - Knowledge of testing libraries of common programming languages (such as ScalaTest or equivalent). Importantly, you’ll know the difference between varying test types (unit test, integration test) and can cite specific examples of what they have written themselves. Nice to haves - Some experience supporting or mentoring a graduate or junior engineer within a team to help them grow. - The desire to grow with our business and your role – over time, you might get the opportunity to lead on projects. Our perks and quirks. 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. We offer: - Competitive salary & Company bonus - 100% RRSP match up to 5% - Competitive annual leave, plus your birthday off, parental leave, PTO, and observed holidays - Comprehensive benefits coverage, including mental health support, fitness reimbursements, and financial well-being - Tax-advantageous benefits, such as commuter benefits, healthcare, and dependent care - Regularly bench-marked salary rates - Well-being days - Volunteer Day off - Work from Home Equipment - Free Subscription to a meditation, relaxation and sleep app - Continuous Training and Development - Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy - Team Social Budget & Company-wide Socials Our mission. We have one mission. To help businesses grow. To make data easier. And to make the world a better place. We’re not a start-up. Not anymore. But we’ve not been around that long either. What we are is a collection of bright, passionate minds harnessing complexities and helping our clients and their communities. One culture, made of many. Heading in one direction – the future. It’s all about you. We want you to feel welcome, valued, and respected - because it’s your individuality and passion that make you Q. We see that, and we celebrate it. That’s why we’re proud to be an Equal Opportunity Employer. We are committed to fostering an inclusive and diverse work environment, continuously improving to ensure everyone belongs. Our recruitment process is designed to be inclusive and accessible. If you need any reasonable adjustments or ac