Senior AWS Data Engineer

Join us as Senior AWS Data Engineer working on our Market Data Store (MDS); We are embarking on an exciting initiative to revolutionize the way market data is accessed and utilized. The successful candidate will have the chance to make a significant impact in designing the platform and working on cutting-edge technologies like Databricks and Snowflake. This is a rare greenfield role that offers the opportunity to solve the ultimate data pipeline challenge faced by all banks, working closely with various businesses and gaining an overview of many different sectors.

To be successful as a Senior AWS Data Engineer, you should have:

• Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
• Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
• Proficiency in data processing and analysis using Python and SQL.
• Strong knowledge of market data and its applications.

Some other highly valued skills may include:

• Experience with other data engineering tools and technologies.
• Knowledge of machine learning and data science concepts.
• Familiarity with Barclays' data strategy and practices.

This role will be based out of our London Canary Wharf office.

Purpose of the role

To build and maintain the systems that collect, store, process, and analyze data, such as data pipelines, data warehouses, and data lakes to ensure that all data is accurate, accessible, and secure.

Accountabilities

• Build and maintain data architecture pipelines that enable the transfer and processing of durable, complete, and consistent data.
• Design and implement data warehouses and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
• Develop processing and analysis algorithms fit for the intended data complexity and volumes.
• Collaborate with data scientists to build and deploy machine learning models.

Vice President Expectations

• Contribute or set strategy, drive requirements, and make recommendations for change. Plan resources, budgets, and policies; manage and maintain policies/processes; deliver continuous improvements and escalate breaches of policies/procedures.
• If managing a team, define jobs and responsibilities, plan for the department’s future needs and operations, counsel employees on performance, and contribute to employee pay decisions/changes.
• If the position has leadership responsibilities, demonstrate a clear set of leadership behaviors to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviors are: L – Listen and be authentic, E – Energize and inspire, A – Align across the enterprise, D – Develop others.
• As an individual contributor, be a subject matter expert within your discipline and guide technical direction.
• Advise key stakeholders, including functional leadership teams and senior management on functional and cross-functional areas of impact and alignment.
• Manage and mitigate risks through assessment, in support of the control and governance agenda.
• Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does.
• Collaborate with other areas of work for business-aligned support areas to keep up to speed with business activity and strategies.
• Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives.
• Seek out, build, and maintain trusting relationships and partnerships with internal and external stakeholders to accomplish key business objectives.

All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence, and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge, and Drive – the operating manual for how we behave.

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