Data Engineer I responsible for supporting AI solutions in Consumer applications at Bank of America. Involved in Hadoop ecosystem, big data technologies, and ensuring system stability.
About the role
- Senior Data Engineer developing sustainable data solutions for various clients. Collaborating on cloud projects and utilizing modern data management technologies in a hybrid working environment.
Responsibilities
- You will develop sustainable data solutions, from requirements analysis through implementation and deployment
- You will support the development of modern, high-quality data platforms — on-premises and in clouds such as Azure, AWS, or GCP
- You will work daily with modern data management technologies (for example Databricks, Snowflake, or Microsoft Fabric) and continuously expand your expertise in them
- You will implement ETL processes and optimize them for performance and scalability
- You will assist clients in developing complex processing pipelines and deploying data services/data products
- You will work closely with various stakeholders — in German and English
- You will take responsibility for the continuous improvement and automation of existing systems
Requirements
- You have hands-on experience implementing cloud data platform projects, e.g., with Snowflake, Databricks, Microsoft Fabric, Amazon Redshift, or Google BigQuery
- You have worked with a variety of data management tools
- You have expertise in SQL and experience with programming languages such as Python
- You are experienced working with CI/CD pipelines
- You enjoy continuous learning and are passionate about new technologies and trends
- You are a team player with excellent communication skills — in German and English.
Benefits
- Tech talks, knowledge sharing, team spirit, and definitely no elbows 💪
- Flat hierarchies combined with short decision paths provide agility in the consulting environment
- Career development aligned with personal interests and focus areas
- Knowledge transfer and experience exchange through internal and external training programs, certifications, and education in the latest technologies via our partner network
- Celebrate successes together: skiing trips, summer party, Christmas party, group barbecues, etc.
- We value work–life balance: flexible working models, workation, mental health program, subsidy for train tickets, sabbaticals, etc.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
No Education Requirement
Tech skills
Location requirements
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