Senior Data Engineer
Job Description
Purpose of the role
To drive technical excellence and innovation by leading the design and implementation of robust software solutions, providing mentorship to engineering teams, fostering cross-functional collaboration, and contributing to strategic planning to ensure the delivery of high-quality solutions aligned with business objectives.
Accountabilities
- Provision of guidance and expertise to engineering teams to ensure alignment with best practices and foster a culture of technical excellence.
- Contribution to strategic planning by aligning technical decisions with business goals, anticipating future technology trends, and providing insights to optimize product roadmaps.
- Design and implementation of complex, scalable, and maintainable software solutions, considering long-term viability and business objectives.
- Mentoring and coaching to junior and mid-level engineers to foster professional growth and knowledge sharing, elevating the overall skillset and capabilities of the organization.
- Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development.
- Innovation within the organization by identifying and incorporating new technologies, methodologies, and industry practices into the engineering process.
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 a Senior Data Engineer within our Markets Post trade technology division where you will be accountable for delivering a set of enterprise, non-negotiable data strategy outcomes across the end-to-end lifecycle.
To be successful in this role you will need:
- Data Engineering & Pipeline Architecture: End-to-end data engineering covering real-time and batch ingestion, ETL pipelines, and full lifecycle (ingestion → processing → consumption) using AWS, SQL, Java, and Python.
- Cloud Data Platforms & Distributed Systems: Hands-on experience with AWS data platforms, Data Lakes, Databricks, and federated architectures, including integration across multiple enterprise data sources.
- Data Governance, Modelling & Metadata Management: Strong expertise in large-scale SQL data modelling, enterprise data cataloguing (Alation), data governance, metadata management, and regulatory-aligned data frameworks.
Some other valued skills may include:
- Automation & Data Product Lifecycle Management: Automation of dataset creation, descriptor generation, and marketplace onboarding, driving efficiency and standardisation of data products
- Data Quality, DevOps & SDLC Excellence: Experience with data quality frameworks (DQ Store, rules onboarding), along with strong DevOps practices including TDD, CI/CD pipelines, and production support.
- Performance Optimisation, Financial Domain & Stakeholder Collaboration: Optimisation of data architectures and latency, strong exposure to financial/regulatory datasets (trade, revenue, transactions), and effective cross-team collaboration, audit, and business stakeholders.
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 in our London office
Data & ML pay context
Based on 1,298 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $107K–$246K).
See the full Data & ML salary breakdown →