Company

HsbcSee more

addressAddressLondon, Greater London
type Form of workPermanent - Full Time
CategoryConstruction & Property

Job description

About Zing

Zing is a brand new fintech designed 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, so we can be an agile fintech whilst reaping the benefits of having one of the world’s biggest international banks as our parent. We’ve recently launched in the UK and have ambitious plans to scale both within the UK and internationally at pace. 

Check us out:-https://www.zing.me/.

Why join Zing?

We’re only at the start of our exciting journey but we’ve already generated significant media interest. If you want to help build out a highly visible global fintech and work with a global bank as a partner, then this could be the opportunity for you!  In addition, we offer:-

  •             Competitive package + benefits
  •             Hybrid work arrangements and flexible working hours
  •             A dynamic and challenging working environment
  •             Responsibility from day one in a fast growing and global company, in a start-up context
  •             A vibrant and international team with diverse backgrounds
  •             Regular social and team events

We are now seeking a talented and experienced Data Architect to join our tech team.  Ideally, you’ll will have a strong background in designing and implementing data solutions in an AWS DevOps microservices environment using Kafka and Snowflake.  As a Data Architect, you will play a crucial role in defining and implementing the Data Architecture, data modeling, and data integration solutions for us here at Zing.

What you will be doing:

  •           Design and implement scalable and efficient Data Architecture solutions in an AWS environment, leveraging microservices architecture and DevOps principles.
  •          Work closely with development teams to understand data requirements and design appropriate data models and schemas for various applications and services.
  •           Implement and maintain data pipelines using Kafka for real-time data streaming and processing.
  •          Design, implement, and optimize data warehouse solutions using Snowflake, ensuring high performance, scalability, and reliability.
  •          Collaborate with cross-functional teams to define data governance policies, data security measures, and data quality standards.  Provide guidance and best practices for data management, data integration, and data access across the organization.
  •          Evaluate and recommend new technologies and tools to enhance the Data Architecture and infrastructure in alignment with business objectives.
  •          Develop and maintain documentation related to Data Architecture, data flows, and data integration processes.

Request

What you will need to be successful

  •          Proven experience as a Data Architect or a similar role, with a strong focus on designing and implementing data solutions in an AWS environment.

  •          An understanding / exposure to FX and/or Payments (FinTech) environments is required

  •          Expertise in microservices architecture, DevOps practices, and cloud-based technologies, particularly within the AWS ecosystem.

  •          Hands-on experience with Kafka for building and managing data pipelines for real-time data streaming and processing.

  •          Proficiency in designing and implementing data warehouse solutions using Snowflake, including performance tuning and optimization.

  •          Strong understanding of data modeling, data integration patterns, and ETL processes. Experience with data governance, data security, and data quality management.

  •          Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.

Desirable

  •          AWS certification(s) such as AWS Certified Solutions Architect, AWS Certified Data Analytics Specialty, or AWS Certified Big Data Specialty.
  •          Experience with other big data and streaming technologies such as Apache Spark, Apache Flink, or Apache Beam.

If you’re looking for a career that will make you stand out, join us at Zing and fulfil your true potential. Whether you desire a new role that could take you to the top, or one that’ll simply take you in an exciting new direction, Zing offers opportunity, support and rewards that will help you realise your goals.

Refer code: 3055586. Hsbc - The previous day - 2024-03-22 23:02

Hsbc

London, Greater London
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