Senior Data EngineerJob 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,plete 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 dataplexity 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 rmendations 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 toplete 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 andernance agenda. Demonstrate leadership and accountability for managing risk and strengthening controls in relation to the work your team does. Demonstrateprehensive 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 thoughtparing and selectingplex alternatives. In-depth analysis with interpretative thinking will be required to define problems and develop innovative solutions. Adopt and include the oues of extensive research in problem solving processes. Seek out, build and maintain trusting relationships and partnerships with internal and external stakeholders in order to aplish key business objectives, using influencing and negotiating skills to achieve oues.
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship - our moralpass, 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.
We are seeking a Senior Data Engineer to design and implement a data platform for managing large-scale binary datasets with high-performance access and historical queries. You will build a robust lakehouse using Delta Lake and HDFS/S3, optimizing for scalability and frequent updates. The ideal candidate has strong expertise in Apache Spark, Delta Lake, and big data systems, with a focus on performance and reliability in an on-premises as well as AWS environment. The candidate will also work on building an access layer that works across unstructured data and structured data across multiple stores.
Key skills required for this role include:
Hands-on development experience with either Java or Python Experience in Big Data Technologies (Hadoop, Spark, Kafka, Streaming) Deep understanding of AWS services to architect and deploy cloud-native big data solutions
Other skills that would be useful in this role include:
Financial knowledge Real-time data processing Databricks, Snowflake, Dashboarding Soft-skills such as strongmunication, stakeholder management
You may be assessed on key critical skills relevant for success in role, such as risk and controls,munication skills and interaction with a diverse range of stakeholders, as well as job-specific technical skills .
This role is based out of our London office. Job ID JR-0000026599
