Cloud Data Engineer

Barclays•Jefferson, CO

22h•Onsite

About The Position

Purpose of the role 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. Embark on a transformative journey as a Cloud Data Engineer. At Barclays, our vision is clear — to redefine the future of banking and craft innovative solutions. Join our team as we continue our transition to a Cloud-First Data Strategy. In this role, you will be part of a highly collaborative, dynamic team that delivers projects in rapid, iterative cycles, contributing to data warehousing and data lake implementations as well providing support for production issues and change management processes.

Requirements

Architecting enterprise-grade, modern solutions in hybrid, multi-cloud environments (preferably AWS)
Developing enterprise-scale data pipelines on the cloud, including migrations from on-premises sources
Proficient with AWS services like Glue, S3, EMR, EC2, EKS, RDS, API Gateway etc
Knowledge in establishing data pipelines using Kafka, Eventbridge, SNS/SQS, Spark, API
Ensuring data governance frameworks and overseeing data flow mechanisms to ensure security, compliance, and lifecycle integrity

Nice To Haves

Experience in the financial industry
AWS certification as Solution Architect
Ample knowledge of CI/CD and DevOps/DevSecOps practices using GitLab
Skilled in influencing partners and stakeholders through clear, impactful communication
Driving technical product selection processes and executing technical spikes/PoCs

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 warehoused 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 scientist to build and deploy machine learning models.
To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement.
They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources (if the position has leadership responsibilities).
Demonstrate a clear set of leadership behaviours (L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others) to create an environment for colleagues to thrive and deliver to a consistently excellent standard (if the position has leadership responsibilities).
Develop technical expertise in work area, acting as an advisor where appropriate (for an individual contributor).
Will have an impact on the work of related teams within the area.
Partner with other functions and business areas.
Takes responsibility for end results of a team’s operational processing and activities.
Escalate breaches of policies / procedure appropriately.
Take responsibility for embedding new policies/ procedures adopted due to risk mitigation.
Advise and influence decision making within own area of expertise.
Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to.
Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct.
Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function.
Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.
Make evaluative judgements based on the analysis of factual information, paying attention to detail.
Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents.
Guide and persuade team members and communicate complex / sensitive information.
Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.