Senior Data Engineer, AVP

Job Description

Role Description Deutsche Bank has set for itself ambitious goals in the areas of Sustainable Finance, ESG Risk Mitigation as well as Corporate Sustainability. As Climate Change throws new Challenges and opportunities, Bank has set out to invest in developing a Sustainability Technology Platform, Sustainability data products and various sustainability applications which will aid Banks goals. As part of this initiative, we are building an exciting global team of technologists who are passionate about Climate Change, want to contribute to greater good leveraging their Technology Skillset in multiple areas predominantly in Cloud / Hybrid Architecture. Your key responsibilities As part of this Role, we are seeking advanced expertise in Python and SQL based Data Engineering. Strong Experience in API development using python-based frameworks. Strong Experience in building highly scalable and reusable python frameworks. Highly experienced in RDBMS (Oracle, Postgres, Big Query) and ETL/ELT concepts. Highly experienced in using orchestration tools (Airflow). This senior role, you will be a trusted advisor, providing technical expertise and strategic direction across all things in data engineering. Technical Expertise: Must have development experience using Python, SQL. Design and optimize complex data pipelines for efficient data ingestion, transformation, and analysis. Partner with product management group and other business stakeholders to gather requirements, translate them into technical specifications, and design effective reusable python driven frameworks. Design and develop complex data models, leveraging expertise in relational and dimensional modeling techniques. Advocate for best practices of Data Engineering. Collaboration & Mentorship : Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and drive data-driven decision-making. Mentor and guide junior team members on Data Engineering technologies. Foster a culture of innovation and continuous improvement within the data and BI domain. Staying Current : Track emerging trends and innovations in Data Engineering methodologies. Proactively research and recommend new technologies and solutions to enhance our data capabilities. Your skills and experience 10 years of experience in data warehousing, data management, and data engineering. Must have ETL/ELT process building using Python and strong Python scripting knowledge. Must have experience architecting and building scalable data frameworks. Experience designing and implementing complex data pipelines. In-depth knowledge of relational and dimensional modeling techniques for BI. Experience with PL SQL. Strong Experience in API development and Data Extraction from API using python-based frameworks. Experience in Data integration concepts. Experience with DevOps tools like Git, Jenkins. Excellent communication, collaboration, and problem-solving skills. Ability to translate technical concepts into clear, actionable insights for business stakeholders. Strong leadership presence and ability to influence and inspire others. Knowledge of Sustainable Finance / ESG Risk / CSRD / Regulatory Reporting will be a plus Knowledge of GCP cloud infrastructure and data governance best practices will be a plus. Knowledge of Terraform will be a plus.