Barclays
SeniorDataEngineering
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineering at Barclays. Skills: AWS cloud services, Python programming, ETL/ELT frameworks, Snowflake. Build data architectures pipelines. Maintain data architectures pipelines”
What You'll Achieve.
ensure that all data is accurate; ensure that all data is accessible; ensure that all data is secure; enable the transfer of data; enable the processing of data; manage appropriate data volumes; manage appropriate data velocity; adhere to required security measures; deliver on work that impacts the whole business function; create an environment for colleagues to thrive; deliver to a consistently excellent standard; meet required outcomes; support the resolution of escalated issues; strengthen controls in relation to the work done; contribute to the achievement of the objectives
Industry & Context.
Engage in complex analysis; solve problems creatively and effectively
What They're Looking For.
Must Have
AWS cloud services, S3, Glue, Athena, Lake Formation, CloudFormation, Python programming, data engineering, pipeline development, automation, ETL/ELT frameworks, data transformation patterns, data quality tooling, Snowflake, data warehousing, query optimisation, Apache Iceberg
Nice to Have
Apache Airflow, workflow orchestration tools, IAM, permissions management, data access governance, Lake Formation policies, resource-based policies, role-based access, data cataloguing, metadata management, Databricks, Starburst, distributed data processing, federated query engines
What You'll Do.
Build data architectures pipelines
Maintain data architectures pipelines
Design data warehoused
Develop processing algorithms
Develop analysis algorithms
Build machine learning models
Deploy machine learning models
How You'll Work.
Team & Collaboration
Collaborate closely with other functions; Collaborate with data scientist; Lead collaborative assignments; Guide team members; Consult on complex providing advice; Collaborate with other areas; Collaborate with diverse internal teams
Communication Scope
Communicate complex information; Influence or convince stakeholders
Process & Methodology
Set objectives, Appraisal of performance, Determination of reward outcomes, Identify new directions for assignments, Identify new directions for projects
Full Job Description
# **Job Description** **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. **Accountabilities** * 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. **Assistant Vice President Expectations** * To advise and influence decision making, contribute to policy development and take responsibility for operational effectiveness. Collaborate closely with other functions/ business divisions. * Lead a team performing complex tasks, using well developed professional knowledge and skills to deliver on work that impacts the whole business function. Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes * If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L – Listen and be authentic, E – Energise and inspire, A – Align across the enterprise, D – Develop others. * OR for an individual contributor, they will lead collaborative assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will identify new directions for assignments and/ or projects, identifying a combination of cross functional
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