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Deutsche Bank
Data Scientist and Data Engineer
Deutsche Bank
Bengaluru•On-site•3-5 Yrs•Jun 17
Job description
Analytics EngineeringConsulting MindsetBusiness IntelligenceData ModelingData Visualization
Overview
We are looking for a Data Scientist / Data Engineer who combines strong analytical depth with a consulting mindset: you listen first, clarify the business problem, and then deliver the easiest workable solution not the most technical one.
Responsibilities
- Partner with stakeholders to define data requirements
- Build reliable datasets and pipelines
- Develop models and statistical analyses where appropriate
- Turn outcomes into clear, decision-ready insights through modern BI/visualization tools
- Deliver timely analytics, statistical modeling, and data products that address current and future business needs
- Translate ambiguous questions into measurable hypotheses, reliable data assets, and actionable insights focusing on impact over complexity
- Build and maintain scalable, well-governed datasets and transformations to enable self-service analytics and consistent reporting
- Perform data collection, processing, cleaning, and validation to ensure accuracy and completeness
- Examine and identify patterns and trends to answer business questions and improve decision-making
- Build intuitive and accurate dashboards and narratives using BI tools
- Identify and implement opportunities to increase efficiency via automation
Qualifications
- Expert SQL writing optimized queries, dimensional modeling concepts, debugging data issues, performance tuning
- Expert Python + Pandas: data wrangling, reproducible analysis, packaging reusable components
- Strong hands-on experience with Snowflake and/or BigQuery
- Experience with dbt (modeling, tests, documentation, version control workflows)
- Familiarity with Qlik and other BI/visualization tools (dashboard design, user adoption, semantic consistency)
Nice to have
- Data orchestration tools (Airflow, Prefect)
- CI/CD for data
- Analytics engineering practices documentation, testing, metric governance, and semantic layers
- Experience representing the organization in industry initiatives or communities as a data practitioner
Benefits
- Best in class leave policy
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program
- Comprehensive Hospitalization Insurance
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above