Lead Data Engineer

Quantexa

. Lead, support, and mentor a team of junior data engineers within an agile framework .

Posted 11/9/2026full-timeMunich • GermanySeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data engineering teams, developing efficient data processing systems, and articulating technical concepts to non-technical stakeholders. Proficient in modern development practices and tools, with a strong focus on automation and best practices in data management.

Highest-signal resume keywords

Data Engineering LeadershipScala ProgrammingProduction Level Data ProcessingDevOps TechnologiesTechnical Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ScalaJavaPythonData Processing SystemsUnit TestingIntegration TestingAutomationVersion ControlFault-Tolerant CodeData Transformation

Soft Skills

MentoringCollaborationKnowledge SharingCommunication

Tools & Technologies

SparkHadoopElasticsearchGoogle CloudMicrosoft AzureAmazon CloudGitGradleNexusJenkins

Certifications & Qualifications

Government Security Clearance Eligibility

Industry Keywords

Big DataFraud DetectionFinancial CrimeData ManagementRisk ManagementCustomer Intelligence

Tech Stack

Tools & technologies

AzureCloudDockerElasticSearchGradleHadoopJavaJenkinsPythonScalaSpark

About the role

Key responsibilities & impact

Lead, support, and mentor a team of junior data engineers within an agile framework
Write defensive, fault-tolerant, and efficient code for production-level data processing systems
Configure and deploy Quantexa’s software using Spark, Hadoop, Scala, Elasticsearch, Google Cloud, Microsoft Azure, and Amazon cloud platforms
Articulate technical concepts to non-technical clients and help them make major decisions
Collaborate with solution architects and R&D engineers on complex big data challenges
Promote knowledge sharing and ensure best practices are followed
Manage, transform, and cleanse high-volume data to help clients address fraud, financial crime, data management, risk, and customer intelligence problems
Break business and client requirements into technical tasks
Work hands-on as a programmer and support other engineers

Requirements

What you’ll need

At least five years of industry experience in a data engineering role or engineering equivalent
At least 2 years of experience acting in a lead role within a data or software engineering team
Proficiency in Scala, Java, Python, or a programming language associated with data engineering
Expertise building and deploying production level data processing batch systems maintained by application support teams
Experience with modern development tooling such as Git, Gradle, and Nexus
Experience with automation and DevOps technologies such as Jenkins, Docker, and Bash scripting
Familiarity with version-controlled development processes
Strong technical communication ability and demonstrable experience working in rapidly changing client environments
Knowledge of testing libraries such as ScalaTest or equivalent
Understanding of unit testing and integration testing, with specific examples of personally written tests
Eligible to obtain government security clearance

Benefits

Comp & perks

Competitive salary & Company bonus
30 days of annual leave, plus national holidays + your birthday off!
Regularly bench-marked salary rates
5% of Employer Pension contribution
Life Insurance and Disability Cover
Comprehensive Statutory Healthcare & Family Leave Provisions
Well-being days
Volunteer Day off
Work from Home Equipment
Free Subscription to a meditation, relaxation and sleep app
Continuous Training and Development
Spend up to 2 months working outside of your country of employment over a rolling 12-month period with our ‘Work from Anywhere’ policy
Team Social Budget & Company-wide Socials