Data Science Engineer, Deutsche Bank

Salary not provided

SQL

Docker

Kubernetes

GCP

Python

Tableau

Looker

Kafka

Airflow

Tensorflow

Spark

NumPy

Pandas

Scikit-Learn

Kubeflow

PyTorch

Keras

Flink

BigQuery

Junior, Mid and Senior level

London

Investment bank and financial services company

Job no longer available

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Job no longer available

Salary not provided

SQL

Docker

Kubernetes

GCP

Python

Tableau

Looker

Kafka

Airflow

Tensorflow

Spark

NumPy

Pandas

Scikit-Learn

Kubeflow

PyTorch

Keras

Flink

BigQuery

Junior, Mid and Senior level

London

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

Hands-on Python 3 experience for production-grade data and ML systems
Experience of advanced SQL for querying, modeling, and optimizing analytical datasets
Cloud data engineering on Google Cloud Platform (e.g., BigQuery, Dataflow, Composer, Cloud Run, GCS, GKE)
End-to-end data & ML pipelines plus MLOps (Airflow; CI/CD; versioning, monitoring; Docker/Kubernetes)
Applied ML across classic and deep learning stacks (e.g., scikit-learn, XGBoost, TensorFlow/Keras, PyTorch)
Advanced analytics (Pandas/Polars/PySpark/NumPy), visualization (Matplotlib/Seaborn/Dash/Looker/Tableau), and real-time streaming (Kafka/Flink/Spark)
Privacy- and governance-aware ML: GDPR/CCPA, ethical AI, explainability (XAI), and experimentation (A/B testing; MLflow/Kubeflow/W&B)

What the job involves

Surveillance Technology represents the 1st line of defense responsible for delivering solutions that protect the bank’s financial and reputational interests from potentially criminal or inappropriate behavior
You will work within the Anti-Fraud tribe responsible for protecting our clients from financial crime using the latest cutting-edge technology and domain expertise
You will partner daily with stakeholders and colleagues across regions and time zones, translating global risk priorities into scalable, consistent controls
Your ecosystem involves tens of millions of daily events and you will leverage cloud-native streaming and batch data processing, advanced analytics, and state-of-the-art ML to detect suspicious patterns in real time
Analysing complex datasets and create clear, decision-ready dashboards and reporting
Designing, training, and validating machine-learning models for fraud detection and surveillance use cases
Implementing new business and regulatory requirements by enhancing data/ML pipelines end to end
Partnering closely with business stakeholders to translate needs into robust data pipelines, statistical dashboards, and production-grade ML solutions
Owning features from design through delivery, combining hands-on development with strong stakeholder management and clear communication
Coordinating with and mentor junior team members and graduates, supporting their technical growth and delivery quality

Salary benchmarks

Our take

Deutsche Bank is one of Europe's biggest banks, operating in around 60 countries. It has a long history but hasn't struggled to keep up with the changing times. Like launching Vert, a digital payments service for small and medium businesses, and focusing on investments that are good for the environment and society.

The banks performance in 2025 has been impressive too. In the first nine months, pre-tax profit reached €7.7B (up 64% from last year) and net profit climbed to €5.6B (a 76% increase). And all business divisions delivered double-digit profit growth, supported by revenue gains and disciplined cost management.

If this wasn't impressive enough, the bank is also making strong progress in ESG, reporting €23B in sustainable financing in the third quarter of 2025 alone. With these healthy finances, a clear strategic direction, and a focus on responsible growth, Deutsche Bank is in a very promising position for the future.

Freddie

Company Specialist at Welcome to the Jungle

Insights

11% employee growth in 12 months

Glassdoor (3.8)

Trustpilot (1.4)

Company

Company HQ

Westend-Süd, Frankfurt, Germany

Leadership

Christian Sewing

(CEO)

Christian joined Deutsche Bank in 1989 as a Banking Apprentice. Since then, he has held a number of roles and became CEO in 2018.

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