Senior Data Engineer, Zing

careers have more impact than others.

If you’re looking for a career where you can make a real impression, join HSBC and discover how valued you’ll be. 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.

We are currently seeking a high calibre professional to join our team as a Senior Data Engineer, Zing.

The Opportunity:

Zing is a brand new fintech built to make international money worry-free for anyone who sends, spends, or converts international currencies. Zing has been developed within the HSBC Group to work for anyone, even if they don’t have a HSBC account. Zing is a separate brand and product established under HSBC Group, so we can be an agile fintech whilst getting the benefits of having one of the world’s biggest international banks as a parent.

Zing has recently launched in the UK and has ambitious plans to scale both within the UK and internationally at pace. For more details about Zing, please visit .

What we’re looking for:

The data strategy for this app spans the entire data spectrum: engineering, data modelling, data science, analytics, reporting, customer selections, data visualisation, architecting use cases with other teams, data governance and commercial data strategy.

The Senior Data Engineer will play a crucial role in designing, implementing, and maintaining our data infrastructure, ensuring the availability, reliability, and scalability of our financial data systems. This is a fantastic opportunity for a data professional who thrives in a fast-paced environment and is passionate about transforming raw data into actionable insights.

What you will be doing:
Fulfil operational and strategic reporting & data visualisation needs across the organisation Create and manage the logic in the singular, semantic reporting layer so definitions of KPIs are applied consistently Develop and support AI-driven / analytics-driven data model design within data engineering team Design and develop a DataOps transformation model to enable self-serve, high-performing data ETL for both ad-hoc analytical purpose and real-time large Machine Learning / AI model inference Hands-on development for data ETL pipeline, data quality check and be responsible for peer coding reviews Develop and support the cross-market data design communication and data synergies Fulfil the operational data needs for customer marketing and service messaging Construct and execute hypothesis tests using the data on our analytical environment in Python, SQL and third party dashboards Understand, at a high level, the business objective and have this drive the work Create an elegant, polished data visualisation, suitable for the executive level Perform ad-hoc data tasks such as reconciliation to assist the team where required Requirements

What the role requires to be successful:
Solid experience in hands-on environment requiring data manipulation Technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics. Good examples are Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, , Alteryx, Collibra Programming skills: python, SQL, Jupyter notebook or similar Building effective working relationships with multiple stakeholders Familiarity with cloud\dev\prod environments Project experience in designing & developing high-performance solution for handling extremely large volume data processing, storage and wrangling in real-time manner Good understanding of DevOps, DataOps or MLOps Cloud-native data ETL development is preferred Understanding of either when to apply machine learning, or how to train basic machine learning models is desirable but not essential

You should apply if:
You enjoy working collaboratively, and have extraordinary listening, written and verbal communication skills Posses a strong understanding of data modelling, ETL processes, and data warehousing concepts You’re comfortable with a combination of getting your hands dirty and taking ownership of your areas You are happy working in a regulated environment in a company that promotes transparency and collaboration You understand how to join data across multiple databases You are passionate about data visualisation and data-driven narratives Have experience collaborating with data engineers on pipelines, ETL or production releases

Why join Zing?

We are only at the start of our journey, so if you want to build a fintech globally, and work with a global bank as a partner, then this is the opportunity for you.