Description
We are seeking a Data Engineer to build and maintain the systems that collect, store, process, and analyse data. As a Data Engineer at Barclays, you will play a pivotal role in ensuring the resilience, scalability, and reliability of critical payment systems within the Merchant Services domain.
Responsibilities:
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientists to build and deploy machine learning models.
Analyst Expectations:
- Perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
- Requires in-depth technical knowledge and experience in their assigned area of expertise.
- Thorough understanding of the underlying principles and concepts within the area of expertise.
- Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources.
Requirements:
- Experience in solution design and AI implementation, translating business requirements into scalable data and technology solutions using AI, automation and cloud technologies.
- Strong understanding of Data Product operating models and modern data strategies to enable scalable, trusted, and reusable data assets.
- Strong understanding of data architecture and end-to-end data solution design.
- Experience in data analytics and reporting, transforming complex datasets into actionable insights to support business decision-making.
- Strong stakeholder engagement and collaboration skills across business and technology teams.
- Experience in developing data visualisations and dashboards using Power BI and Tableau.
- Experience in technical to business documentations and translations.
- Advanced proficiency in Excel and experience using JIRA.
Some of Highly Valued Skills may include:
- Experience with SQL and data engineering platforms, enabling effective collaboration with technical teams and informed decision-making on data solutions.
- Experience in project or product management across the full lifecycle, including requirements gathering, prioritisation, planning, delivery and value realisation.
- Knowledge of Teradata and data warehouse technologies.
- Experience within Financial Services or a consulting environment, with an understanding of complex stakeholder landscapes, regulatory requirements and change delivery.