Senior Data Engineer - Berlin, Deutschland - Deutsche Bank

Beschreibung

DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.

CB Data Platform

We are on our way to build and deliver multi-tenanted decentralized data platform with centralized governance, with self-service infrastructure plane and data controls.

Data Platform Engineer (f/m/x) to join our team.

In this role, you will be responsible for designing, implementing, and maintaining the infrastructure and tools necessary for our cloud-based data platform.

Your responsibilities will include team leadership, working closely with data engineers, analysts, cross-functional teams, and other stakeholders to ensure that our data platform meets the needs of our organization and supports our data-driven initiatives.

Join us in building and scaling our cloud-based data platform to unlock new insights and drive business growth. If you are passionate about cloud technologies and data engineering, we want to hear from you

As part of the DB Corporate Bank Data Services team your role is to help our Data Tribe to deliver data platform solution.

Design, implement, and maintain scalable and reliable data infrastructure solutions on Google Cloud Platform.

Design, develop and manage data pipelines to ingest, process, and store data from various sources into the cloud data platform.

Optimize data storage and retrieval processes for performance, scalability, and cost-effectiveness.

Collaborate with data engineers, data scientists, and analysts to understand their requirements and provide solutions that enable them to analyse and derive insights from data effectively.

Adopt best practices in monitoring, troubleshoot, and overall observability of the data platform issues, ensuring solution resiliency and high availability.

Stay up to date with the latest cloud technologies and best practices in data engineering and recommend improvements to our data platform architecture and processes.

Work closely with stakeholders to gather requirements, prioritize tasks, and deliver projects on time and within budget.
Document data platform architecture, processes, and procedures.
Bachelor's degree or equivalent in Computer Science, Engineering, or a related field.
Proven experience in designing, deploying, and managing cloud-based infrastructure, preferably for data platforms.
Proficiency in programming languages such as Python, Java, or Scala.
Hands on experience with Big Data technologies such as Apache Hadoop, Apache Spark, and Apache Kafka.

Hands-on experience with data pipeline orchestration tools such as Apache Airflow, experience with Infrastructure as a Code tools such as Terraform.

Knowledge of data management and cloud security best practices.
This job is available in full and parttime.

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

You can benefit from health check-ups; 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.

You can benefit from offerings such as pension plans, banking services, company bicycle or "Deutschlandticket".
Our values define the working environment we strive to create - diverse, supportive and welcoming of different views.

We build talented and diverse teams to drive business results and encourage our people to develop to their full potential.

We welcome applications from talented people from all cultures, countries, races, genders, sexual orientations, disabilities, beliefs and generations and are committed to providing a working environment free from harassment, discrimination and retaliation.