Java Software Engineer (Data Products)

TL;DR

Java Software Engineer (Data Products): Designing and implementing high-performance data pipelines, billing infrastructure, and self-serve data infrastructure and APIs with an accent on database performance, scalability, and system resilience. Focus on building modern data platforms, working with GCP services, and solving complex data challenges in an event-driven environment.

Location: Hybrid working, requesting up to two days per week in the office (UK). Nomad working available for up to 30 days per year.

Company

hirify.global is an open banking infrastructure platform on a mission to enable innovative companies to create better financial services globally.

What you will do

• Design, build, and maintain scalable data ingestion and processing systems.
• Develop and maintain APIs for a seamless data experience for internal and external stakeholders.
• Manage SQL and NoSQL databases, optimizing schema design and troubleshooting queries.
• Develop and maintain software products utilizing GCP services such as PubSub, BigQuery, Cloud Storage, and Dataflow.
• Build and maintain reliable billing architecture within an event-driven environment.
• Collaborate with Business Intelligence, infrastructure, product managers, and cross-functional teams to deliver data-centric solutions.

Requirements

• 3–5 years of hands-on experience in Java development, particularly in data-intensive environments and building data products.
• Background in managing both SQL and NoSQL databases.
• Knowledge of version control (Git) and CI/CD practices for data pipeline deployment.
• Familiarity with data modelling and schema design for operational or analytical systems.
• Comfortable working with REST APIs and microservices architectures.
• Understanding of real-time stream processing frameworks (e.g., PubSub, Kafka, Flink, Spark Streaming).

Nice to have

• Knowledge of Python for data automation and scripting.
• Familiarity with Docker and Kubernetes.
• Familiarity with workflow/orchestration tools (e.g., Airflow, Dagster, Prefect).
• Exposure to cloud-based data services (GCP preferred; AWS/Azure also considered).
• Awareness of data governance and compliance principles (GDPR, ISO27001).

Culture & Benefits

• Competitive pay and equity package.
• Generous time off (25 days holiday each year, plus bank holidays, increasing by 1 day annually up to 5 more).
• Hybrid working model (up to two days in office per week) with 30 days of nomad working.
• Enhanced Maternity and Paternity leave.
• Private Medical Insurance (BUPA) and mental health support.
• £200 annual budget for learning and personal development.
• Monthly socials, team lunches, and dog-friendly office.