Data Engineer

Summary

Join Quantexa's Delivery team as a Data Engineer and contribute to the implementation of innovative data analytics technology across various domains. You will build end-to-end data pipelines, configure decision-making platforms, and solve complex big data challenges. The role requires strong problem-solving skills and experience in data processing systems. You will collaborate with architects and engineers, championing solutions and best practices. This position offers opportunities to work with high-volume data, impacting clients' business problems in areas like fraud and risk management. The company fosters a diverse and inclusive work environment.

Requirements

• You’ll have a background in hands-on technical development, with at least 18 months’ of industry experience in a data engineering role or equivalent, and preferably some software industry experience
• Proficiency in Scala, java, python, or a programming language associated with data engineering
• 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

Responsibilities

• 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

Benefits

• Competitive salary
• Company bonus
• 23 days annual leave, plus national holidays + your birthday off!
• Pension scheme with a company contribution of 5% (when you contribute 2%)
• Private Healthcare with DKV
• Life Insurance
• Work from Home Allowance
• Meal Vouchers
• Regularly bench-marked salary rates
• Well-being days
• Volunteer Day off
• Work from Home Equipment
• Free Calm App Subscription #1 app for meditation, relaxation and sleep 🧘‍♀️
• Continuous Training and Development, including access to Udemy Business
• Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
• Employee Referral Program
• Team Social Budget & Company-wide Socials