Consulting/Principal Software Engineer (Big Data)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Principal Software Engineer (Big Data): Leading a cross-functional squad to build data-driven research metrics for SciVal with an accent on distributed data processing and scalable architecture. Focus on implementing high-performance solutions using Databricks, OpenSearch, and Neo4j to enable advanced academic insights.
Location: London
Company
A global leader in information and analytics, helping researchers and healthcare professionals advance science and improve health outcomes.
What you will do
- Serve as the technical lead and first line of escalation for the squad's services and components.
- Translate product objectives into sound technical designs and decompose epics into implementable stories.
- Design and implement complex features, bug fixes, and performance improvements.
- Drive technical leadership across backend, frontend, QE, and platform concerns to ensure balanced decisions.
- Establish CI/CD pipelines, quality gates, and observability strategies including SLOs and alerting.
- Mentor team members through pairing, code reviews, and architecture discussions.
Requirements
- Around 7+ years of experience in Software Engineering contributing to complex production systems.
- Demonstrated depth in Big Data engineering with proficiency in Databricks, Spark, EMR, OpenSearch, Elasticsearch, or Neo4j.
- Proficiency in one or more languages such as Java/JVM, Python, or Scala.
- Strong understanding of Agile and Lean practices, including backlog refinement and risk-aware planning.
- Experience with relational and non-relational databases, including data modelling and performance tuning.
- Familiarity with CI/CD pipelines, containerized environments, and cloud fundamentals.
Culture & Benefits
- Flexible working hours to help maintain a healthy work-life balance.
- Comprehensive Pension Plan and generous vacation entitlement.
- Option for sabbatical leave and study assistance.
- Maternity, Paternity, Adoption, and Family Care leave.
- Personal Choice budget and access to internal professional communities.
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