Senior Data Platform / Infrastructure Engineer, Deutsche Bank

Origination & Advisory Technology

Salary not provided

GCP

Python

Scala

Java

Linux

Airflow

Kotlin

Terraform

Jenkins

Hadoop

Spark

Grafana

Teamcity

BigQuery

Pulumi

Senior and Expert level

Berlin

Investment bank and financial services company

Open for applications

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Open for applications

Salary not provided

GCP

Python

Scala

Java

Linux

Airflow

Kotlin

Terraform

Jenkins

Hadoop

Spark

Grafana

Teamcity

BigQuery

Pulumi

Senior and Expert level

Berlin

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

Linux Expertise: Sensible knowledge of Linux internals, expert shell scripting
Programming Proficiency: Basic proficiency with at least one JVM language (Java, Scala/Kotlin) and Python
Automation Experience: Hands-on experience with CI/CD platforms like classic ones (Teamcity/Jenkins) and modern ones (GitHub Actions is a plus)
Cloud Tech: Verifiable experience with containers and orchestration (k8s), related tooling (like helm or grafana tanka)
Providers: Sensible experience with major cloud providers (GCP is a strong plus). Infra as Code tools (like Terraform or Pulumi) is a must
Monitoring & instrumentation: Hands-on experience with logging, monitoring & alerting tools (e.g LGTM stack or competitors)
Analytical skills and analytical thinking, good skills in written and spoken English

Desirable

Distributed Systems experience: Operational experience with distributed services deployment (e.g. with rely on Apache Zookeeper, etcd), familiarity with Hadoop stack, Apache Spark, and analytical database system (like Clickhouse/BigQuery/Exadata)
Enterprise Cloud Tools: Experience with OpenShift (plus), hybrid on-prem/cloud setups (like Google Anthos)
Data pipeline orchestration tools – Experience with tools like Apache Airflow

What the job involves

As a Senior Data Platform/Infrastructure Engineer (f/m/x), you will become a part of a team building the Client 360 business domain’s data platform
We are looking for one who will help us to build sustainable data infrastructure used by engineers, analytical stakeholders and backend teams
Shaping the horizon: It’s in your hands to decide what can make everyone happy - new or better tools/automation, new platform components. Doing all this as optimally as possible
Developer Experience: Lead the adoption of best practices for CI/CD and monitoring parts
Cloud Migration: Curate the implementation of hybrid-cloud setup for our data platform
Collaboration: Provide your expert’s advice on infrastructural services and cloud stack for operation support engineers (SL2) during incident investigation and mitigation. Work closely with software engineers on implementing new platform offerings

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.