Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Senior Java Developer - (Java/Big Data)

Global Relay
City of London
1 week ago
Create job alert
Overview

Who we are: For over 20 years, Global Relay has set the standard in enterprise information archiving with industry-leading cloud archiving, surveillance, eDiscovery, and analytics solutions. We securely capture and preserve the communications data of the world’s most highly regulated firms, giving them greater visibility and control over their information and ensuring compliance with stringent regulations.


Though we offer competitive compensation and benefits and all the other perks one would expect from an established company, we are not your typical technology company. Global Relay is a career-building company. A place for big ideas. New challenges. Groundbreaking innovation. It’s a place where you can genuinely make an impact – and be recognized for it.


We believe great businesses thrive on diversity, inclusion, and the contributions of all employees. To that end we recruit candidates from different backgrounds and foster a work environment that encourages employees to collaborate and learn from each other, completely free of barriers.


Your role

Joining the Reporting product line, you would work as a member of a highly focused team. This team specialises in Java-based data engineering, designing and delivering large-scale ETL workflows on a lake house platform. You’ll be working with modern big data technologies to move, transform, and optimise data for high-performance analytics and regulatory reporting. The environment encourages autonomy, problem-solving, and system-level thinking. If you’re passionate about clean, well-tested, performant code and enjoy working on complex data pipelines at scale, you’ll thrive here.


Tech stack

  • Micro-services Container Platforms (Kubernetes, CRC, Docker)
  • Big Data Technologies (Apache Spark, Flink, HDFS, Airflow, Trino, Iceberg, Hive)
  • Dependency injection frameworks (Spring)
  • Observability (Loki/Grafana)
  • Large scale data processing (Kafka)
  • CI/CD Build tools (Maven, Git, Jenkins)
  • NoSQL DBs (CockroachDB, Cassandra, Zookeeper, ArangoDB)

Your responsibilities

  • Design, implement and provide architectural guidance in deploying microservices as part of an agile development team
  • Migrate existing services to microservices, with the goal of reducing complexity at the design and architecture level
  • Write unit and integration tests for your Java code
  • Collaborate with testers in development of functional test cases
  • Develop deployment systems for Java based systems
  • Collaborate with product owners on user story generation and refinement
  • Monitor and support the operation of production systems
  • Participate in knowledge sharing activities with colleagues
  • Pair programming and peer reviews

About you

  • Required Experience:

    • Minimum 8 years of Java development experience in an Agile environment, building scalable applications and services
    • Experience with RESTful services
    • Passion for Test Driven Development
    • CI/CD


  • Attributes:

    • Good communication
    • Problem Solving
    • Self-starter
    • Team player



What you can expect

At Global Relay, there’s no ceiling to what you can achieve. It’s the land of opportunity for the energetic, the intelligent, the driven. You’ll receive the mentoring, coaching, and support you need to reach your career goals. You’ll be part of a culture that breeds creativity and rewards perseverance and hard work. And you’ll be working alongside smart, talented individuals from diverse backgrounds, with complementary knowledge and skills.


Global Relay is an equal-opportunity employer committed to diversity, equity, and inclusion.


We seek to ensure reasonable adjustments, accommodations, and personal time are tailored to meet the unique needs of every individual.


To learn more about our business, culture, and community involvement, visit www.globalrelay.com.


#J-18808-Ljbffr

Related Jobs

View all jobs

Quantitative Developer

Senior Full Stack Quantitative Developer

Senior Data Engineer - Market Intelligence

Senior Data Engineer - Market Intelligence

Senior Data Engineer

Senior Search Data Engineer

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.