Data Engineer for Scalable Financial Systems
4 weeks ago
Zing, a brand new fintech from HSBC Group, is seeking a Data Engineer for Scalable Financial Systems to join our team.
The role plays a crucial part 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.
About ZingZing is a separate brand and product established under HSBC Group, allowing us to be an agile fintech while benefiting from the support of one of the world's biggest international banks as a parent. Our vision is to make international money worry-free for anyone who sends, spends, or converts international currencies.
Responsibilities- 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
We estimate that this role will offer a salary between £80,000 and £110,000 per annum, depending on experience. As we're only starting our journey, there's significant room for growth and opportunities to make a real impact.
We are looking for someone with solid experience in hands-on environments requiring data manipulation. The ideal candidate should possess technical expertise in tools spanning: data warehousing, ETL, internal visualisation and analytics, such as Snowflake, GCP, Azure Analytics, Sagemaker, Databricks, Tableau, PowerBI, Looker, Quicksight, Airflow, Alteryx, Collibra. Additionally, programming skills in python, SQL, Jupyter notebook or similar are necessary.
In return for your hard work, you'll enjoy a range of benefits including a competitive salary, flexible working hours, and access to cutting-edge technology. You'll also have the chance to work in a collaborative and dynamic environment with like-minded professionals who share your passion for data-driven innovation.
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