Data Engnieer - B4
barclays
Job Description
- Overall experience in data engineering, analytics engineering, process mining, business intelligence, data warehousing, or enterprise data platforms.
- Hands-on experience with Celonis, including Data Integration, Data Pools, Data Models, Transformations, Analyses, and Process Mining use cases.
- Strong SQL expertise, including complex joins, window functions, performance tuning, incremental loading, and data quality validation.
- Strong understanding of Celonis Process Query Language (PQL), process mining concepts, event logs, activity tables, case tables, and KPI modelling.
- Experience building scalable data pipelines into Celonis from enterprise systems using connectors, APIs, databases, or scheduled data extracts.
- Good understanding of banking and financial services processes, including KYC, client onboarding, lending, payments, operations, reconciliation, complaints management, risk controls, and regulatory reporting.
- Experience with relational databases and enterprise or cloud data platforms such as PostgreSQL, Oracle, SQL Server, Snowflake, BigQuery, AWS, and Azure.
- Ability to analyse source system data structures and translate business process logic into reliable Celonis data models.
- Strong troubleshooting skills across data load failures, transformation issues, performance bottlenecks, and data inconsistencies.
- Experience working in Agile delivery environments, including documentation, backlog refinement, sprint execution, and stakeholder demonstration.