Must have

• Cloud

• BigQuery

• Data engineering

• ETL

• Airflow

• Cloud Composer

• SQL

• Shell

• Git

• Data build tool

• BI

• Looker

• Looker Studio

• DevOps

• English (C1)

Requirements description

What you need to have to succeed in this role

• Proven experience building and operating cloud data platforms, ideally on Google Cloud Platform with BigQuery.
• Strong background in data engineering, including ETL pipeline development and orchestration using Airflow or Cloud Composer.
• Advanced SQL development skills, with at least 7 years of hands-on experience designing and optimizing queries and schemas.
• Experience in Shell scripting, Git, and with data build tools (DBT).
• Experience with BI Tools – ideally Looker, Looker Studio
• Experience working in a DevOps environment with continuous integration, continuous delivery
• Experience collaborating with technical teams and project managers to deliver efficient, controlled solutions
• Comfortable working independently and proactively in fast-paced, ambiguous situations, driving improvements and resolving issues as they arise.

Offer description

Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC, and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

Your career opportunity

We have a unique opportunity for you to join our team that provides the metrics and analytical products that drive change in DevOps practices across the bank. We provide the key measures that track performance and capabilities of our engineering teams across the world, and the critical insights and intelligence that leadership teams rely on to shape and deliver strategic change. We drive DevOps transformation through our Data, Analytics & Practices, and we’re looking for data engineer to join our team in the next stage of our evolution.

Your responsibilities

1. Design, develop, test, and deploy data transformation pipelines and ETL processes for cloud-based analytics solutions
2. Collaborate with multi-disciplinary teams to deliver enriched datasets, dashboards, and actionable metrics for DevOps improvement
3. Ensure data quality, integrity, and reliability throughout the data lifecycle, from ingestion to presentation
4. Operate and iterate on our cloud data platform capabilities, supporting both greenfield and existing ecosystem components
5. Partner with business stakeholders to understand requirements and translate them into scalable data solutions
6. Contribute to continuous improvement by experimenting with new technologies, tools, and approaches

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