Data Engineer

Job Posting Details

Location

• Frankfurt am Main Deutsche Bank AG Jetzt bewerben

Summary

• Arbeitszeit: Vollzeit
• Typ: Festanstellung

Desired Skills & Knowledge

PaaS, Networking, Apache Airflow, Cloud, Data Processing, CAN, ACT!, Apache, SCRUM, Java, Apache Spark, Mentoring, ETL, Security, Server, Google Cloud Platform, ServiceNow, across, Übersetzungssoftware, Mobile App, Python, Hybrid, GIT, GitHub, Support, DevOps, Continuous Integration, IaaS, Engineering, Flexibilität

Our Benefits

• Firmenticket

Job Description

We provide you with a comprehensive portfolio of benefits and offerings to support both, your private and professional needs.

• Emotionally and mentally balanced: A positive mind helps us master the challenges of everyday life - both professionally and privately. We offer consultation in difficult life situations as well as mental health awareness trainings.
• Physically thriving: We support you in staying physically fit through an offering to maintain personal health and a professional environment. You can benefit from health check-ups; vaccination drives as well as advice on healthy living and nutrition.
• Socially connected: Networking opens up new perspectives, helps us thrive professionally and personally as well as strengthens our self-confidence and well-being. You can benefit from PME family service, FitnessCenter Job, flexible working (e.g parttime, hybrid working, job tandem) as well as an extensive culture of diversity, equity and inclusion.
• Financially secure: We provide you with financial security not only during your active career but also for the future. You can benefit from offerings such as pension plans, banking services, company bicycle or "Deutschlandticket".

Since our offerings slightly vary across locations, please contact your recruiter with specific questions.

Your Responsibilities

Details of the role and how it fits into the team

As a member of the internationally staffed, agile teams of the OneDP-DE, you will be part of the "TDI PB Germany Data & Analytics". Focus will be on data platform engineering using GCP components and developing ETL pipelines in our data platform to ensure that necessary data is provided for operational and analytical purposes.

OneDP-DE is the new, strategic data platform of the Private Bank in Germany and uses the Google Cloud Platform as a basis. With Google as a close partner, we are following Deutsche Bank's cloud strategy with the aim of transferring a significant proportion of today's on-prem applications to the Google Cloud Platform or building new ones there.

Your key responsibilities:

• You will be a Data Platform Engineer, involved in active coding in our Scrum Team.
• Develop and operate fast and reliable solutions for our data platform together with your team. This includes mainly the implementation of connections of different data sources to load data via batch or near/realtime into the data platform as well as the modeling and transformation of data to use it for different application purposes.
• You will be part of a DevOps team and, in addition to developer activities, you will also be involved with IaaS and platform operations and will help maintain the infrastructure components of the platform on the GCP.
• You contribute to defining the technical direction of the team while being actively involved in the development.
• In the growing department, you will act as a role model for junior staff, conduct code reviews and help create an attractive environment for the team.

Your Profile

• More than 5 years of practical experience in developing applications using Java and/or Python.
• Experience with projects in the Google Cloud Platform using core GCP services (e.g., Cloud Run, BigQuery, PubSub, Composer, Dataproc, Dataflow).
• Experience with IaaS/PaaS deployment using IaC tools like Terraform, as well as CI/CD using Git and Github Actions or other deployment methods.
• Hands-on knowledge of data modeling and database systems, including relational databases, preferably including Document and Key Value Stores.
• Experience in data extraction, transformation and loading (ELT/ETL) for data warehouses in an enterprise context.
• Broad knowledge of data processing via SQL, as well as many years of experience in using data pipeline tools (Apache Spark, Apache Beam, Apache Airflow, etc.).
• Experience in owning and optimizing data infrastructure with a DevOps mindset: maintain deployments and document them in deployment automatization tools like ServiceNow.
• Thinking with structure and clarity, apply strong logical reasoning to solve complex data system challenges.
• Passion about mentoring and spreading knowledge within the team, share knowledge ensuring the team is up to date on engineering topics, foster a culture of continuous learning and lead by example.

Contact

Contact Kilian Weber: 49 (30) 34073081 [Mehr anzeigen] [Weniger anzeigen]

Professional Requirements

• Airflow, Apache Beam, Apache Spark, Bigquery, Cloud Computing, Coaching und Mentoring, Code-Review, Continuous Integration, Data Analysis, Data Mining, Data Warehousing, Daten-Pipeline, Datenbanken, Datenflusssteuerung, Dateninfrastruktur, Datenmodelierung, Datensysteme, Datenverarbeitung, Devops, ETL, Git, Github, Google Cloud, Iaas, Infrastruktur, Java, Paas, Produktlinienentwicklung (Software), Python, Relationale Datenbanken, SQL, Scrum, Servicenow, Technische Überwachung, Terraform

Personal Skills

• Führungskompetenz, Kritisches Denken, Passioniert

Work Experience

• Mit Berufserfahrung [Mehr anzeigen] [Weniger anzeigen]

Application

Jetzt bewerben

Industry:

Finanzen / Versicherungen

Employer:

Deutsche Bank AG

Address:

Deutsche Bank AG Ulmenstr 37 39 60325 Frankfurt am Main

Web:

http://db.com

Benefits: Firmenticket, Pension plans, Banking services, Company bicycle, Deutschlandticket, PME family service, FitnessCenter Job, flexible working options. Salary: Not specified Remote Model: Hybrid Country Code: de