Senior Data Engineer, Quantexa

• You’ll need to be a problem solver
• 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

Desirable

• 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
• 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
• 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