Full-Time Java Technical Lead

Client: German banking market leader.

Project: Migrate data to Google Cloud Platform.

Team: Agile team of Data and Java Engineers (junior and senior).

Responsibilities:

• Drive Data Efficiency: Create and maintain optimal data transformation pipelines.
• Master Complex Data Handling: Work with large, complex financial data sets.
• Lead Innovation and Process Optimization: Automate manual processes, optimize data delivery, and re-design infrastructure for higher scalability.
• Architect Scalable Data Infrastructure: Build infrastructure for optimal extraction, transformation, and loading of data.
• Unlock Actionable Insights: Build/use analytics tools for insights into customer acquisition and other key business metrics.
• Collaborate with Cross-Functional Teams: Support data-related issues and guide data infrastructure needs.

Requirements:

• Experience: 8+ years in a similar role, preferably within Agile teams.
• Programming Languages: Strong experience with object-oriented programming languages, especially Java or Scala.
• Java Ecosystem: In-depth knowledge of the Java ecosystem, Spring, Spring Boot, Spring Data, SOLID principles, Design Patterns, and API-driven development.
• Databases: Proficiency in SQL and relational databases (MySQL or PostgreSQL).
• Shell Scripting: Experience with Bash shell scripting in a Linux environment.
• Cloud Services: Familiarity with cloud service providers (especially Google Cloud Platform).
• Microservices: Solid understanding of microservice architecture.
• Testing: Experience with test-driven design (TDD).
• Functional Programming (optional): Understanding of functional programming (Scala).
• Tools: Exposure to Terraform, CI/CD pipelines (Jenkins), Apache Spark, and GCP services (Dataproc, BigQuery, Pub/Sub, Cloud Functions).

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