Senior Data Engineer

About the job

• 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.

Requirements

• 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.