Lead Data Engineer

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 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.

Join us as a Lead Data Engineer at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to evolutionise our digital offerings, ensuring unparalleled customer experiences.

To be successful as a Lead Data Engineer you should have experience with:

Big data technologies

• Expertise in Hadoop and its related tools

• Experience in integrating Hadoop with cloud native technologies.

Data warehousing & Analytics

• Teradata - Deep understanding of architecture , performance tuning and large-scale data integration

ETL processes

• Proficiency in designing, optimizing and orchestrating ETL workflows

• Ability to implement data integration strategies across multiple heterogenous systems.

SQL/scripting

• Advanced SQL skills for querying and   optimizing large datasets

• Experience in Python/Pyspark or other scripting languages for data transformation, automation and orchestration.

Data Governance and Quality

• Strong focus on data governance, metadata management and data quality across entire architecture

Collaboration & Stakeholder management

• Ability to engage with business stakeholders, tech teams and data engineers to define requirements, align data strategies and deliver high value solutions.

• Proven experience leading cross-functional teams to execute complex data architectures

Experience in Agile methodologies.

Some other highly valued skills may include:

Cloud platform expertise (AWS)

• AWS Data services - Proficiency with AWS data related services such as S3, Redshift, Athena, Glue, Lambda

• Cloud Architecture Design - Designing cloud-native data architectures, optimizing cost and performance on AWS

Data modelling and architecture

• Strong understanding of data modelling - relational, dimensional

• Experience in designing data lakes, data warehouses and real-time processing pipelines

• Ability to create scalable and high performing architectures across on-prem and cloud environments.

Data warehousing & analytics - Snowflake - Experience in building and managing data pipelines, data models and optimizing performance

Data Visualization

You may be assessed on 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 is based out of Chennai.