# Associate Director, Software Engineering Specialist

**Company**: HSBC
**Location**: Guangzhou, Guangdong
**Experience**: senior
**Job type**: full-time
**Category**: IT
**Industry**: Finance

**Apply**: https://portal.careers.hsbc.com/careers/job/563774612194057?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_4f36c7b4-d54

## Description

We are currently seeking an experienced professional to join our team in the role of Associate Director, Software Engineering Specialist.

Principal responsibilities:

- Lead end-to-end engineering delivery for big data ETL and scoring pipelines, from design through build, testing, release, and operational support.

- Design and evolve cloud-native architectures using GCP services (e.g., Dataproc/Spark, GCS, CloudSQL, GKE, VMs) aligned to non-functional requirements.

- Develop and optimise Spark/Scala jobs for large-scale batch processing, data quality controls, enrichment, and feature/scoring outputs.

- Drive effective integration patterns and engineering standards around the Quantexa platform, ensuring robust data ingestion, entity resolution/analytics workflows, and downstream consumption.

- Design and implement efficient indexing/retrieval patterns using Elastic Search to support investigative and analytical use cases.

- Establish best practices for code quality, CI/CD, testing strategies, observability, reliability, and cost/performance optimisation; mentor engineers and conduct technical reviews.

Requirements:

- Strong hands-on big data engineering background, with proven experience building production-grade ETL pipelines and data platforms at scale.

- Advanced Spark + Scala experience (performance tuning, partitioning strategies, handling skew, optimising job execution, production support).

- Strong GCP experience designing and running data workloads (e.g., Dataproc, GCS, CloudSQL, GKE/containers, IAM/security basics, networking considerations).

- Technical leadership experience (solution design ownership, estimation/planning, guiding teams through delivery, mentoring, setting standards and direction).

- Solid engineering fundamentals: distributed systems, data modelling, batch processing patterns, fault tolerance, testing and CI/CD discipline.

- Stakeholder and communication strength: able to translate complex technical topics to non-technical partners, navigate a complex organisation, and drive outcomes across teams.

## Skills

### Required
- Big Data Engineering
- Spark
- Scala
- GCP
- Cloud-Native Architectures
- Quantexa
- Elastic Search
- Technical Leadership

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Source: [Apply at portal.careers.hsbc.com](https://portal.careers.hsbc.com/careers/job/563774612194057?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)