2 hours ago
Pune, IndiaMid Level
Responsibilities
- Design, build, optimize, and maintain enterprise-grade Celonis data pipelines, data models, process mining solutions, and analytical assets.
- Integrate enterprise systems into Celonis using connectors, APIs, databases, or scheduled data extracts.
- Develop SQL transformations, incremental loads, data quality checks, and performance-tuned data workflows.
- Translate source-system structures and banking process logic into reliable Celonis data models and KPIs.
- Troubleshoot data load failures, transformation errors, performance issues, and business data mismatches.
- Collaborate with business, technology, architecture, compliance, and operations teams on process mining and data engineering initiatives.
- Participate in documentation, backlog refinement, sprint delivery, stakeholder demos, production support, and release activities.
- Create reusable data engineering patterns, templates, and accelerators for multiple business processes.
- Apply secure coding, risk management, data privacy, information security, and audit controls to assigned work.
Requirements
- Experience in data engineering, analytics engineering, process mining, business intelligence, data warehousing, or enterprise data platforms.
- Hands-on experience with Celonis Data Integration, Data Pools, Data Models, Transformations, Analyses, and process mining use cases.
- Strong SQL expertise, including complex joins, window functions, performance tuning, incremental loads, and data quality checks.
- Strong understanding of Celonis Process Query Language, event logs, activity tables, case tables, process mining concepts, and KPI modeling.
- Experience building scalable data pipelines from enterprise systems into Celonis.
- Understanding of banking or financial services processes such as KYC, client onboarding, lending, payments, reconciliation, complaints, risk controls, or regulatory reporting.
- Experience with relational databases and cloud or enterprise data platforms such as PostgreSQL, Oracle, SQL Server, Snowflake, BigQuery, AWS, or Azure.
- Ability to analyze source-system data structures and convert business process logic into reliable Celonis data models.
- Strong troubleshooting skills for data loads, transformations, performance issues, and data mismatches.
- Experience working in Agile delivery models with documentation, backlog refinement, sprint delivery, and stakeholder demos.
- Preferred qualifications include Celonis certification, experience with Object-Centric Process Mining and Celonis process intelligence, and exposure to Python, Java, APIs, ETL, orchestration, or automation platforms.
- Experience with enterprise governance, production support, incident management, access management, release management, banking technology controls, data privacy, information security, audit requirements, and cross-functional delivery is valued.
Benefits
- The successful candidate will be based in Pune.
Categories
Data Engineering
About Barclays
Our vision is to be the UK-centred leader in global finance. We are a diversified bank with comprehensive UK consumer, corporate and wealth and private banking franchises, a leading investment bank and a strong, specialist US consumer bank. Through these five divisions, we are working together for a better financial future for our customers, clients, and communities. For further information about Barclays, please visit home.barclays.