Data Engineer with Java

We are currently looking for a Data Engineer to join a cross-functional team responsible for building and maintaining a scalable and reliable data platform supporting key business areas across the organization.

The team focuses on delivering high-quality data solutions, enabling advanced analytics, reporting, and operational processes. You will collaborate closely with engineers, product representatives, and business stakeholders, contributing both to technical implementation and to shaping data standards and best practices.

Your responsibilities will include

• Designing, developing, and optimizing data processing pipelines in a cloud-based environment (GCP)

• Contributing to architectural decisions and implementation strategies

• Building scalable data solutions using distributed processing frameworks

• Ensuring data quality, consistency, and performance across systems

• Translating business requirements into technical data solutions

• Supporting CI/CD processes and infrastructure automation

• Proactively identifying improvement areas and enhancing team ways of working

We are looking for someone who:

• Has 3+ years of experience as a Software Engineer or Data Engineer

• Has strong programming skills in Java (Scala is a plus)

• Has hands-on experience with cloud platforms (preferably GCP) and Infrastructure as Code tools (e.g., Terraform)

• Understands distributed data processing concepts (e.g., Spark)

• Is familiar with CI/CD practices and tools such as GitHub Actions

• Has experience with workflow orchestration tools (e.g., Airflow – nice to have)

• Feels comfortable working directly with business stakeholders

• Has experience working in Agile/Scrum environments

• Demonstrates analytical thinking and problem-solving skills

• Is open to continuous learning and knowledge sharing

• Speaks fluent English