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About the Role

Principal Data Engineers are key technical decision-makers within fast-paced delivery teams, implementing Quantexa’s innovative technology for various domains. You will balance competing demands with technical complexity, guide and mentor data engineers, and work hands-on as a programmer. Your leadership in managing, transforming, and cleansing high volume data will help clients solve business problems across areas like fraud, financial crime, risk, and customer intelligence.

Responsibilities

Lead, support, and mentor a team of junior data engineers within an agile framework.
Set medium-term strategy for the technical delivery of projects, anticipating challenges, risks, and issues.
Operate with a high level of autonomy.
Write defensive, fault-tolerant, and efficient code for production-level data processing systems.
Configure and deploy Quantexa’s software using tools such as Spark, Hadoop, Scala, and Elasticsearch.
Articulate technical concepts to a non-technical audience.
Collaborate with solution architects and R&D engineers to champion solutions and standards for complex big data challenges.
Proactively promote knowledge sharing and ensure best practices are followed.

Requirements

Accomplished technical lead with a track record of delivering complex or mission-critical projects.
At least eight years of industry experience in a data engineering role or engineering equivalent.
At least five years of experience acting in a lead role within a data or software engineering team.
Proficiency in Scala, Java, Python, or a data engineering-associated programming language.
Expertise building and deploying production-level data processing batch systems maintained by application support teams.
Appreciation for high-quality, operationally stable systems and streamlining development, release, and operations.
Experience with modern development tooling (e.g., Git, Gradle, Nexus) and technologies supporting automation and DevOps (e.g., Jenkins, Docker, Bash scripting).
Familiarity with developing within a version-controlled process that regularly uses these tools and technologies.
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).
Understanding of different test types (unit test, integration test) with specific examples of written tests.

Skills

Scala
Java
Python
Spark
Hadoop
Elasticsearch
Git
Gradle
Nexus
Jenkins
Docker
Bash scripting
ScalaTest

Location

Remote

Work Type

Full-time
Hybrid

Experience Level

8+ years industry experience
5+ years lead experience

Salary/Compensations

Regularly bench-marked salary rates

Benefits

Annual leave, plus national holidays + birthday off
100% 401k match up to 5%
Competitive annual leave, 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
Volunteer Day off
Work from Home Equipment
Free Subscription to a meditation, relaxation and sleep app
Continuous Training and Development
Work from Anywhere policy (up to 2 months outside country of employment over a rolling 12-month period)
Team Social Budget & Company-wide Socials

About the Company

Innovating the data analytics market since 2016, with technology originating in FinTech to tackle criminal activity.
A diverse team of nearly half from ethnic or religious minority backgrounds, comprising people from 47 nationalities who speak over 20 languages.
Mission-driven to help businesses grow, make data easier, and make the world a better place.
A collection of bright, passionate minds harnessing complexities and helping clients and their communities.

Equal Opportunity

Proud to be an Equal Opportunity Employer.
Committed to fostering an inclusive and diverse work environment.
Recruitment process designed to be inclusive and accessible.
Welcomes individuals regardless of race, beliefs, color, national origin, gender, sexual orientation, age, marital status, neurodiversity, or abilities.