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Join us as a Data Engineer at Barclays, responsible for supporting the successful delivery of Location Strategy projects to plan, budget, agreed quality and governance standards. You'll spearhead the evolution of our digital landscape, driving innovation and excellence. You will harness cutting-edge technology to revolutionize our digital offerings, ensuring unparalleled customer experiences. 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.
Job Responsibility:
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
Lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources
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
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
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
Requirements:
Proficiency in Ab Initio (GDE, EME, Co-Operating System) for graph development, debugging, and performance tuning
Ability to write and debug shell scripts for job orchestration
SQL & PL/SQL querying skills for data extraction, transformation, and validation
Familiarity with Tivoli Workload Scheduler (TWS) or similar
Exposure to SIT, E2E, and OAT testing cycles
Experience with JIRA for sprint planning, backlog grooming, and delivery tracking
Design and implement scalable ETL solutions for real-time and batch data processing
Should be able to write test cases and execute testing scenarios
Collaborate with architects, analysts, and QA teams to ensure data quality and system stability
Participate in code reviews, peer testing, and production deployments
Maintain documentation and support audit and compliance requirements
Contribute to continuous improvement initiatives and automation efforts
Nice to have:
Working knowledge of MongoDB or any other document databases
Experience with IBM MQ, Apache Kafka, or similar message queue technologies
Awareness of access control, vulnerability assessments, and audit readiness
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