Data Engineer joining Quantexa to implement innovative data solutions in multiple domains. Collaborating with teams to manage and cleanse high volume data while solving business problems.
Responsibilities
**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 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. 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.
Benefits
**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.
Competitive salary
Company bonus
Annual leave, plus national holidays + your birthday off!
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
Senior Data Engineer designing and optimizing data platforms for clients using Microsoft Azure, Microsoft Fabric, Power BI, and Databricks. Working closely with clients to deliver scalable solutions.
Data Engineer providing technical expertise on mission - critical NAVSUP OIS program. Work involves data architecture and database management in AWS GovCloud environments.
Senior Data Engineer focusing on data infrastructure for an AI - driven insurtech startup based in Nepal. Collaborating with teams to optimize data models and maintain data quality.
Senior Professional Consultant leading architecture and design for SAP BW and SAC solutions at Freudenberg. Collaborating with stakeholders and optimizing performance of data landscapes.
Senior Data Engineer designing and managing data architectures to transform large - scale data into insights for Humana. Involves leading technical discussions and implementing best data practices.
Data Engineer II at Early Warning Services developing data science tools and infrastructure. Collaborating on software enhancements and mentoring interns in a hybrid work environment.
Senior Data Architect responsible for optimizing data architecture and supporting data - driven business decisions at TruStage. Leading technical guidance for data architecture and cross - functional team collaboration.
Senior Data Architect developing data architecture plans at The Hartford, collaborating with internal teams to align data standards and practices. Leading complex solutions with a focus on operational effectiveness.
Senior Solution Architect defining architecture framework for SA‑CCR in regulatory risk. Collaborating with stakeholders to ensure compliance and efficient data governance.