Barclays
DataEngineer-MarketDataPlatform
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer - Market Data Platform at Barclays. Skills: AWS cloud services, Python programming, ETL/ELT frameworks, Snowflake, Apache Iceberg. 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.”
Industry & Context.
Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.
What They're Looking For.
Must Have
Expert-level proficiency in AWS cloud services including S3, Glue, Athena, Lake Formation, and CloudFormation, Strong Python programming skills at a senior level, applied to data engineering, pipeline development, and automation, Solid experience with ETL/ELT frameworks, data transformation patterns, and data quality tooling, Working knowledge of Snowflake for data warehousing, query optimisation, and integration within broader data ecosystems, Experience with Apache Iceberg or similar open table formats for managing large-scale, versioned analytical datasets
Nice to Have
Experience with Apache Airflow or similar workflow orchestration tools for scheduling and monitoring complex data pipelines, Familiarity with IAM, permissions management, and data access governance within AWS (Lake Formation policies, resource-based policies, role-based access), Understanding of data cataloguing and metadata management practices to support discoverability and governance of enterprise datasets, Experience with Databricks or Starburst for distributed data processing and federated query engines, Ability and willingness to collaborate with diverse internal teams across technology, data, and business functions to drive adoption and alignment
What You'll Do.
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.
engineering scalable onboarding
and governed distribution pipelines for market data
ensuring high-quality
and compliant datasets are delivered efficiently across the enterprise.
How You'll Work.
Team & Collaboration
Collaborate closely with other functions/ business divisions.; lead collaborative assignments and guide team members through structured assignments; identify the need for the inclusion of other areas of specialisation to complete assignments; Consult on complex providing advice to People Leaders to support the resolution of escalated issues.; Perform work that is closely related to that of other areas, which requires understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function.; Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategy.; Engage in complex analysis of data from multiple sources of information, internal and external sources such as procedures and practises (in other areas, teams, companies, etc). to solve problems creatively and effectively.; Ability and willingness to collaborate with diverse internal teams across technology, data, and business functions to drive adoption and alignment
Communication Scope
Communicate complex information.
Process & Methodology
Set objectives and coach employees in pursuit of those objectives, appraisal of performance relative to objectives and determination of reward outcomes, Identify new directions for assignments and/ or projects, identifying a combination of cross functional methodologies or practices to meet required outcomes.
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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