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Full-time
Posted 5d ago
~40 hrs/week
Responsibilities
Design and implement scalable data hydration solutions to ingest, transform, and govern enterprise data for analytics and AI applications. Collaborate with cross-functional teams to build resilient integration frameworks and ensure high-quality, secure software delivery.
Requirements
Requires experience in building enterprise-scale data pipelines, API integration, and data quality controls using Python, SQL, and cloud platforms. Candidates should possess strong knowledge of data engineering best practices, AI-ready data preparation, and technical governance.
Full job description
Job Description
Purpose of the role
To design, develop and improve software, utilising various engineering methodologies, that provides business, platform, and technology capabilities for our customers and colleagues.
Accountabilities
Development and delivery of high-quality software solutions by using industry aligned programming languages, frameworks, and tools. Ensuring that code is scalable, maintainable, and optimized for performance.
Cross-functional collaboration with product managers, designers, and other engineers to define software requirements, devise solution strategies, and ensure seamless integration and alignment with business objectives.
Collaboration with peers, participate in code reviews, and promote a culture of code quality and knowledge sharing.
Stay informed of industry technology trends and innovations and actively contribute to the organization’s technology communities to foster a culture of technical excellence and growth.
Adherence to secure coding practices to mitigate vulnerabilities, protect sensitive data, and ensure secure software solutions.
Implementation of effective unit testing practices to ensure proper code design, readability, and reliability.
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 PPCR Data Integration Developer at Barclays where you will spearhead the evolution of our infrastructure and deployment pipelines, driving innovation and operational excellence. You will design and implement scalable data hydration solutions that ingest, transform, enrich, govern, and expose enterprise data for downstream analytics, applications, and Generative AI solutions.
To be successful as a PPCR Data Integration Developer you should have experience with:
Designing and implementing enterprise-scale Data Hydration frameworks for ingestion, transformation, enrichment, validation, and distribution.
Building scalable batch and real-time data pipelines across enterprise platforms.
Preparing AI-ready data by cleansing, enriching, chunking, tagging, and structuring enterprise data for downstream consumption.
Implementing data quality, lineage, reconciliation, metadata, observability, and governance controls.
Integrating enterprise applications and data platforms using APIs, event streams, ETL/ELT patterns, and reusable services. (REST APIs, JSON/XML, event-driven integration, Kafka or streaming patterns, cloud integration concepts, reusable interface design)
Building resilient integration frameworks with monitoring, error handling, restartability, and operational controls.
Optimizing throughput, latency, reliability, and scalability across complex data processing workloads.
Python, SQL, Git or GitLab CI/CD, Linux/Unix, Azure/AWS/GCP data platform awareness
Supporting GenAI initiatives by preparing trusted and governed data for AI consumption.
Enabling RAG and enterprise knowledge retrieval patterns using metadata, document processing, embeddings, and semantic search concepts.
Collaborating with AI engineering teams on prompt engineering, LLM orchestration, AI evaluation, and responsible AI controls.
Translating business requirements into secure, scalable, and maintainable technical solutions.
Working with business stakeholders, architects, data teams, security, governance, and platform engineering teams.
Supporting deployments, production issue resolution, root-cause analysis, and continuous improvement.
Mentoring junior engineers and promote engineering best practices.
Some other highly valued skills may include:
Hands-on experience with LLMs, RAG architecture, prompt engineering, agentic AI patterns, semantic search, vector databases, embedding models, AI evaluation, and AI observability.
Experience in Databricks, Apache Spark, Snowflake, Delta Lake, real-time streaming, Data Mesh concepts, enterprise data catalogues, and advanced metadata management.
Experience in AWS data services, Kafka, API management platforms, microservices, Event Hub, or Pub/Sub platforms.
Experience in GitLab CI/CD, Jenkins, automated testing frameworks, Infrastructure as Code, Docker/Kubernetes, production monitoring, and observability tools.
Knowledge of Banking or financial services domain, information security, privacy controls, GDPR, data retention, data entitlements, solution design, technical governance, stakeholder management, Agile delivery, mentoring, and consulting mindset.
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.
The role is based out of Pune.
Related keywords
Data IntegrationPythonSQLETLELTKafkaCloud IntegrationGenerative AIDatabricksApache SparkSnowflakeGitLab CI/CDData GovernanceAPIREST APIsMicroservices
Banking you expect, with the data and insights you don’t. We look beyond numbers to give our clients the big picture.
Industry
Banking
Company size
10,001+ employees
Headquarters
London
LinkedIn followers
92,688
We provide corporate banking services to UK businesses with an annual turnover of over £6.5 million. Follow us for insights and inspiration. Social media T&Cs: http://barc.ly/1JxOuPF
Barclays Bank PLC is registered in England (Company No. 1026167) with its registered office at 1 Churchill Place, London E14 5HP. Barclays Bank PLC is authorised by the Prudential Regulation Authority, and regulated by the Financial Conduct Authority (Financial Services Register No. 122702) and the Prudential Regulation Authority. Barclays is a trading name and trade mark of Barclays PLC and its subsidiaries.
Industry expertiseAgricultureBusiness ServicesCommoditiesFinancial InstitutionsHealthcareHospitality and leisureManufacturingTransport and LogisticsNatural Resources
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Companies currently hiring include Accenture, Barclays Corporate Banking, Genpact, YASH Technologies, Mastercard, among others. Browse the listings above to see every active employer.
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