Java Technical Lead

Summary

Join Accesa, a leading technology company, and work on a data migration project for a major German bank. This role involves designing and implementing data pipelines on Google Cloud Platform within an agile team. You will be responsible for optimizing data transformation, building scalable infrastructure, and collaborating with cross-functional teams. The ideal candidate possesses extensive experience in Java, data engineering, and cloud technologies. Accesa offers a comprehensive benefits program focusing on physical, emotional, social wellbeing, and work-life fusion.

Requirements

• 8+ years of experience in a similar role, preferably within Agile teams
• Strong experience with object-oriented programming languages, especially Java or Scala
• In-depth knowledge of the Java ecosystem, including frameworks such as Spring, Spring Boot, and Spring Data, as well as associated patterns (e.g. SOLID principles, Design Patterns) and API-driven development
• Proficiency in SQL and experience working with relational databases such as MySQL or PostgreSQL
• Experience with Bash shell scripting in a Linux environment
• Familiarity with cloud service providers, especially Google Cloud Platform; Azure or AWS are also acceptable
• Solid understanding of microservice architecture
• Experience with test-driven design (TDD)

Responsibilities

• Drive Data Efficiency: Create and maintain optimal data transformation pipelines
• Master Complex Data Handling: Work with large, complex financial data sets to generate outputs that meet functional and non-functional business requirements
• Lead Innovation and Process Optimization: Identify, design, and implement process improvements such as automating manual processes, optimizing data delivery, and re-designing infrastructure for higher scalability
• Architect Scalable Data Infrastructure: Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using open-source technologies
• Unlock Actionable Insights: Build/use analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Collaborate with Cross-Functional Teams: Work clients and internal stakeholders, including Senior Management, Departments Heads, Product, Data, and Design teams, to assist with data-related technical issues and guide their data infrastructure needs

Preferred Qualifications

• Understanding of functional programming (Scala)
• Exposure to Terraform and CI/CD pipelines (Jenkins or similar)
• Familiarity with Apache Spark
• Interest in GCP services (Dataproc, BigQuery, Pub/Sub, Cloud Functions)
• Working knowledge of highly scalable big data datastores

Benefits

• Medical benefits
• Gym support
• Personalised fitness options
• Team events
• Healthy Habits Club
• Flexibility to define the work-life dynamic