Technical specialist- Data Engineer (L3)​, AS

Role overview

Key responsibilities

• Develop and review source code and infrastructure or application configurations against detailed software requirements.
• Lead Level 3 support for Hadoop compute and storage, Spark configurations and security, data workflows, and infrastructure as code.
• Drive continuous improvement on big data applications in production and non-production environments.
• Debug production incidents, fix defects, and provide support to Level 2 teams.
• Conduct code reviews under the four-eyes principle and contribute to unit and integration testing.
• Implement architectural changes defined by architects and contribute to problem and root cause analysis.
• Integrate software components according to the integration strategy and resolve test findings.
• Record code changes in Change Items and develop deployment routines where applicable.
• Provide release deployments in non-production management-controlled environments.
• Support software training materials, user guides, and deployment instructions.
• Maintain application changes according to release management processes.
• Identify dependencies, integration verification needs, and technical improvements related to scalability, reliability, availability, and performance.

General requirements

• Bachelor of Science degree in Computer Science or Software Engineering, or equivalent, with a minor in Finance, Mathematics, or Engineering.
• Strong analytical skills and proficient communication skills.
• Fluent written and verbal English.
• Ability to work in virtual teams and matrixed organizations.
• Ability to design and write code against business requirements and contribute to QA strategy and architecture decisions.
• Knowledge of IT delivery and architecture, including data modelling and data analysis.
• Relevant financial services experience.
• Ability to work in a fast-paced environment with competing priorities and maintain delivery focus.
• Ability to balance business demands and IT fulfilment through standardization, risk reduction, and increased IT flexibility.
• Ability to share information and transfer knowledge to team members.

Technical skills

• Desirable technologies include Java or Scala, Spark, Hadoop, Hive, Airflow, Control-M, Composer, Python, Bash, Shell scripting, and cloud offerings.
• GCP is preferred among cloud offerings, with knowledge of IaaS, PaaS, and SaaS also identified.
• Relevant tools and processes include HP ALM, Jira, ServiceNow, SDLC, and Agile processes.
• Use AI tools to enhance productivity and optimize workflows while applying critical judgment for responsible and ethical use.

Benefits and support

• Benefits include leave policies, gender-neutral parental leave, childcare assistance reimbursement, certification and education sponsorship, employee assistance, insurance, and health screening.
• The organization provides training, development, coaching, expert support, and flexible benefits.

About Deutsche Bank