Description
We are seeking a Senior Data Engineer with Snowflake - Market Data Platform to join our team at Barclays. As a Senior Data Engineer, you will enable and accelerate the Markets data strategy by building and scaling a new market data platform with real business impact, leveraging Snowflake, Databricks, Airflow, and AWS to deliver governed, high-quality data at enterprise scale.
The purpose of this role is to build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure.
Key responsibilities include:
- Building and maintaining data architectures and pipelines that enable the transfer and processing of durable, complete, and consistent data.
- Designing and implementing data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Developing processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaborating with data scientists to build and deploy machine learning models.
As a Vice President, you will be expected to contribute to or set strategy, drive requirements, and make recommendations for change. You will plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements; and escalate breaches of policies/procedures.
Requirements:
- Extensive experience with Snowflake, including data sharing, secure views, and multi-tenant platform design in an enterprise environment.
- Considerable skills in Snowflake database architecture, compute management, and entitlements design to support governed data distribution at scale.
- Experience in sourcing, onboarding, and cataloguing data from third-party vendors for controlled internal redistribution.
- Solid working knowledge of AWS cloud services and Apache Iceberg table format for open, interoperable data lakehouse patterns.
Highly valued skills include:
- Demonstrable experience with Databricks.
- Experience with Apache Airflow for orchestrating and scheduling complex data workflows.
- Familiarity with machine-readable metadata standards and how they can be leveraged for automated data cataloguing and classification.
- Ability and willingness to collaborate with diverse internal teams across technology, business, and vendor management functions.
This role will be based in our Prague office. The entry salary range is Kč 1,884,000.00 - Kč 2,496,000.00 per year.