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.
Vice President Expectations
To 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, they define jobs and responsibilities, planning for the department’s future needs and operations, counselling employees on performance and contributing to employee pay decisions/changes. They may also lead a number of specialists to influence the operations of a department, in alignment with strategic as well as tactical priorities, while balancing short and long term goals and ensuring that budgets and schedules meet corporate requirements..
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 be a subject matter expert within own discipline and will guide technical direction. They will lead collaborative, multi-year assignments and guide team members through structured assignments, identify the need for the inclusion of other areas of specialisation to complete assignments. They will train, guide and coach less experienced specialists and provide information affecting long term profits, organisational risks and strategic decisions..
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.
Demonstrate comprehensive understanding of the organisation functions to contribute to achieving the goals of the business.
Collaborate with other areas of work, for business aligned support areas to keep up to speed with business activity and the business strategies.
Create solutions based on sophisticated analytical thought comparing and selecting complex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions.
Adopt and include the outcomes of extensive research in problem solving processes.
Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to accomplish key business objectives, using influencing and negotiating skills to achieve outcomes.
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.
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.
Experience with data governance, data quality, and data security best practices.
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.
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills
This role will be based out of our London Canary Wharf office.
Senior AWS Data Engineer