The Senior Data Engineer, AVP will lead the development of data frameworks and pipelines, leveraging expertise in Python and SQL to enhance data capabilities within Deutsche Bank's Sustainability initiatives. Responsibilities include designing complex data models, collaborating with stakeholders, mentoring junior engineers, and advocating best practices in Data Engineering.
Job Description:
Job Title: Senior Data Engineer, AVP
Location: Pune, India
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 Bank’s 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.
What we’ll offer you
As part of our flexible scheme, here are just some of the benefits that you’ll enjoy,
- Best in class leave policy.
- Gender neutral parental leaves
- 100% reimbursement under childcare assistance benefit (gender neutral)
- Sponsorship for Industry relevant certifications and education
- Employee Assistance Program for you and your family members
- Comprehensive Hospitalization Insurance for you and your dependents
- Accident and Term life Insurance
- Complementary Health screening for 35 yrs. and above
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.
How we’ll support you
- Training and development to help you excel in your career.
- Coaching and support from experts in your team.
- A culture of continuous learning to aid progression.
- A range of flexible benefits that you can tailor to suit your needs.
About us and our teams
Please visit our company website for further information:
https://www.db.com/company/company.htm
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Top Skills
Airflow
Api Development
Big Query
GCP
Git
Jenkins
Oracle
Postgres
Python
SQL
Terraform
Similar Jobs
Fintech • Financial Services
As a Senior Engineer in the IT squad at Deutsche Bank, you will design solutions to align with architectural principles, collaborate with cloud engineers on data ingestion and processing, and drive the bank’s digitalization efforts. Your role involves extensive use of GCP tools, code development, and managing test processes while mentoring other developers.
Top Skills:
ArtifactoryBitbucketConfluenceGitGithub ActionsGoogle Cloud PlatformJIRAPysparkPythonScalaSparkTerraformUnix
Payments
The Staff Software Engineer - Data Engineer will lead the design and development of data solutions and ETL pipelines primarily using AWS tools. This role includes collaboration with business units to design data models, oversight of data integration solutions, troubleshooting data issues, and mentoring junior engineers to promote technical excellence.
Top Skills:
SparkArchitectureAWSAws DevopsAws GlueBig DataConfluent KafkaData ModellingDatabricksDb2DynamoDBEmrEvent Driven ArchitectureJenkinsLambdaMicroservicesMongoDBMySQLNosql DatabasesOraclePostgresPysparkRdsRedshiftRest ApisS3SnowflakeSoap ApisSpark SqlSQLSQL ServerStreamsetsTest Driven Development
Fintech • Financial Services
As a Staff Data Engineer, you will support and execute CommSec's data strategy by building scalable frameworks on the cloud, focusing on automation and innovation. You will work with AWS technologies, lead projects, mentor junior developers, and participate in design and code reviews.
Top Skills:
AthenaAWSAws DmsCi/CdCloud Development KitCloud FoundationEvent BridgeGlueIam RolesLake FormationLambdaPysparkPythonRedshiftS3Software Development KitSql Server Integration ServicesStep Function
What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
