Senior Data Engineer, Content Management Systems

RELX

Senior Data Engineer designing and operating large‑scale data platforms for Elsevier. Collaborating across teams to build data solutions and ensure high data quality standards in China.

Posted 6/9/2026full-timeShanghai • 🇨🇳 ChinaSeniorWebsite

Tech Stack

Tools & technologies

AWSCassandraCloudCyber SecurityDockerETLJavaKafkaKubernetesMongoDBNoSQLPythonSOAPSparkSQLTableau

About the role

Key responsibilities & impact

Design, implement, test, and maintain production‑grade backend services and data pipelines in cloud environment
Write clean, maintainable, and efficient code for large‑scale content ingestion, processing, and delivery
Debug and resolve complex issues including data correctness, performance bottlenecks, and operational failures
Participate in code reviews and contribute to shared libraries, reusable components, and internal tooling
Build and operate pipelines processing high‑volume scholarly content, including XML and other semi‑structured formats
Implement metadata extraction, transformation, validation, deduplication, and enrichment logic
Handle imperfect inputs such as non‑standard schemas, missing fields, inconsistent source data, with encoding issues
Implement ETL/ELT processes for structured and unstructured data
Integrate internal systems with third-party platforms via APIs and middleware
Implement data quality checks, automated testing, and observability to ensure data quality, consistency, and performance
Optimize data pipelines and system performance across systems
Implement automated workflows for content processing, validation, and policy enforcement
Reduce manual operational steps through engineering automation
Ensure compliance with China regulatory requirements, including Cybersecurity Law and PIPL
Support audits through technical controls such as logging, lineage tracking, and access trails
Collaborate with cross-functional teams and stakeholders
Support system migrations, upgrades, and cloud adoption
Monitor and troubleshoot data and integration issues
Maintain documentation for data architecture and workflows
Investigate incidents, perform root‑cause analysis, and implement permanent fixes

Requirements

What you’ll need

5+ years of hands‑on experience as a software engineer on backend or data‑intensive systems
Bachelor's degree or above in Computer Science, Software Engineering, or a related field.
Strong understanding of software engineering fundamentals: data structures, system design basics, testing, and debugging
Advanced relational database expertise and data warehouse project experience
Strong programming experience in Python or Java
Advanced SQL and relational database expertise
Hands-on experience with Snowflake for data warehousing
Hands-on experience with ETL/ELT pipelines
Experience with cloud platforms (AWS, or Alibaba Cloud)
Hands-on experience with Databricks, Spark and Kafka for data processing
Experience with NoSQL databases (MongoDB, Cassandra, etc.)
Strong API and integration knowledge (REST, SOAP, JSON, XML)
Experience with system integration and data exchange mechanisms
Familiarity with data visualization tools (Tableau, Power BI)
Knowledge of DevOps practices and CI/CD pipelines
Experience with containerization (Docker, Kubernetes)
Experience of projects execution following data governance and compliance standards
Solid understanding of data lifecycle management and architecture
Experience in performance tuning and troubleshooting
Experience in data pipeline monitoring and reliability engineering
Strong understanding of security principles in data systems
Reading/Writing proficiency in English for technical reviews
Experience of oral English communication with global teams for meetings and reviews

Benefits

Comp & perks

Medical and Life Insurance
Long‑Service Award
Marriage and New Baby Gifts
Festivals and Birthday Gifts
Annual Medical Check‑up
Flexible Benefits via CIIC Platform
Paid Time Off, including annual leave, family care leave, and public holidays

ATS Keywords

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Hard Skills & Tools

PythonJavaSQLETLELTSnowflakeDatabricksSparkKafkaNoSQL

Soft Skills

collaborationproblem-solvingcommunicationroot-cause analysisdebuggingperformance tuningdocumentationautomationcross-functional teamworktechnical reviews