Data Analytics Engineer

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 methodologies or practices to meet required outcomes.
• Consult on complex issues; providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and developing new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• 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.
• Communicate complex information. 'Complex' information could include sensitive information or information that is difficult to communicate because of its content or its audience.
• Influence or convince stakeholders 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.

Embark on a transformative journey as a Data Analytics Engineer. At Barclays, our vision is clear – to redefine the future of banking and help craft innovative solutions. We are seeking a skilled Data Analytics Engineer to transform complex data sets into actionable insights that drive business decisions. In this role, you will design, build, and maintain data pipelines and analytics solutions while collaborating with cross-functional teams to understand business requirements and deliver data-driven outcomes.

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

• Professional programming experience in Java or Python, along with building production-grade data systems
• Advanced knowledge of RDBMS/NoSQL databases, data modelling, and modern data warehouse architectures
• Proven experience with AWS data services ecosystem (Glue, Redshift, Lambda, S3, EMR, Kinesis)
• Expert-level experience with batch processing, stream processing, and data integration using big data frameworks such as Spark, Flink, or Kafka Streams

Other highly valued skills include:

• Advanced knowledge of data visualization tools such as Tableau, SAP BO, or Power BI
• Expertise in containerization using Docker and Kubernetes for data workloads
• Experience with Infrastructure as Code (Terraform, CloudFormation)
• Demonstrated success in implementing serverless architectures for data processing
• Experience with DataOps and CI/CD pipelines for data solutions

You may be assessed on the key critical skills relevant for success in this 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 is based in our Whippany, New Jersey office.

Minimum Salary: $134,000

Maximum Salary: $175,000

The minimum and maximum salary/rate information above includes only base salary or base hourly rate. It does not include any other type of compensation or benefits that may be available.

Barclays employees are eligible for a suite of competitive and generous employee benefits, including medical, dental and vision coverage, 401(k), life insurance, and other paid leave for qualifying circumstances.

This position is eligible for an incentive award.