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Senior Big Data Engineer (Java Focus)
Global Relay — стабильная компания с мировым именем и современным стеком технологий. Высокий балл за интересные задачи на стыке Big Data и FinTech, хотя требование посещать офис 4 дня в неделю может подойти не всем.
Сложность вакансии
Роль требует глубоких знаний Java и экосистемы Big Data (Spark, Flink, Iceberg), а также опыта работы с высоконагруженными системами. Высокий порог входа обусловлен необходимостью архитектурного мышления и работы в жестко регулируемой финансовой сфере.
Анализ зарплаты
Предлагаемая позиция Senior уровня в Лондоне обычно предполагает конкурентную оплату. Рыночные оценки для опытных Big Data инженеров в этом регионе находятся в диапазоне £85,000 - £115,000 в год, что соответствует уровню ведущих технологических компаний.
Сопроводительное письмо
I am writing to express my strong interest in the Senior Big Data Engineer position at Global Relay. With over five years of experience in Java development and a deep focus on building scalable ETL/ELT workflows, I am confident in my ability to contribute to your Reporting product line. My background includes extensive work with Apache Spark, Flink, and Kafka, which aligns perfectly with your modern big data tech stack and your mission to provide industry-leading compliance solutions.
In my previous roles, I have successfully designed and implemented complex data pipelines on data lakehouse platforms, ensuring high performance for analytics and regulatory reporting. I am particularly drawn to Global Relay's commitment to clean, well-tested code and your collaborative, agile environment. I am eager to bring my expertise in microservices and big data technologies to your team and help drive groundbreaking innovation in enterprise information archiving.
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Описание вакансии
Who we are:
For over 25 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 ELT/ETL workflows on a data lake house platform. You will 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, Hadoop, Airflow, Trino, Iceberg)
- Dependency injection frameworks (Spring)
- Observability (Loki/Grafana)
- Large scale data processing (Kafka)
- CI/CD Build tools ( Maven, Git, Jenkins, Ansible)
- NoSQL DBs (Cassandra, Zookeeper, HBase)
Your Responsibilities:
- Develop ETL, ELT and streaming processes using big data frameworks primarily in Java
- Design, implement and provide architectural guidance in deploying microservices as a part of an agile development team
- 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 5 years of Java development experience in an Agile environment, building scalable applications and services with a focus on big data solutions and analytics
- 3+ year experience in developing ETL / ELT processes using relevant technologies and tools.
- Experienced in working with data lakes and data warehouse platforms for both batch and streaming data sources.
- ANSI SQL experience or other flavours of SQL
- Experience of unstructured, semi-structured and structured data processing.
- A good understanding of ETL/ELT principles, best practices and patterns used.
- Experienced in some big data technologies such as Hadoop, Spark and Flink o Experience in web services technologies
- Experience in Test Driven Development o Experience in CI/CD • Attributes:
- Good communication skills
- Problem Solving
- Self-starter
- Team player
Employees are required to attend the office 4 days per week in accordance with Global Relay’s hybrid working policy.
Global Relay is unable to offer visa sponsorship for this position. Candidates must have the right to work in the UK at the time of application.
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.
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Навыки
- Java
- Apache Spark
- Apache Flink
- Hadoop
- Airflow
- Trino
- Apache Iceberg
- Spring
- Kafka
- Kubernetes
- Docker
- Cassandra
- HBase
- SQL
- CI/CD
- Jenkins
- Ansible
- Maven
- Git
Возможные вопросы на собеседовании
Проверка понимания архитектуры современных хранилищ данных, упомянутых в вакансии.
Объясните преимущества использования формата Apache Iceberg в архитектуре Data Lakehouse по сравнению с традиционными подходами.
Вакансия делает упор на Java-фокус в Big Data.
Какие основные проблемы производительности возникают при использовании Java для обработки больших данных в Spark/Flink и как вы их решаете (например, управление памятью или GC)?
Упоминается работа с Kafka и потоковой обработкой.
Как вы обеспечиваете семантику 'exactly-once' при проектировании стриминговых ETL-процессов?
Роль Senior подразумевает участие в архитектурных решениях.
Опишите ваш подход к обеспечению качества данных и мониторингу пайплайнов в распределенной среде.
Проверка навыков работы с NoSQL, указанными в стеке.
В каких сценариях вы бы предпочли Cassandra вместо HBase для хранения результатов обработки данных?
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