# Senior Data Engineer – Python & BigQuery (f/m/x) at Deutsche Bank

Deutsche Bank is hiring a Senior Data Engineer – Python & BigQuery (f/m/x) in Bucharest, Romania. Level rates it Little AI ●○○○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/477cf719-950d-4708-b8f6-3a7e61bf99d1?utm_medium=ai-agent).

AI Level 1, AI centrality 24 out of 100. Bucharest, 6A Dimitrie Pompeiu Blvd.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 1 (score 24 out of 100)
- Location: Bucharest, 6A Dimitrie Pompeiu Blvd
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/477cf719-950d-4708-b8f6-3a7e61bf99d1?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-engineer-python-bigquery-f-m-x-at-deutsche-bank-ca8290

## Description

Job Description: Join DB Global Technology, Deutsche Bank’s technology center in Central and Eastern Europe. The Bucharest Technology Centre (BEX) delivers global tech products, driving the Bank's transformation. We foster a robust, hands-on engineering culture, dedicated to continuous learning, skill development, and networking. We develop applications for key business areas. You will join the OneMIS stream, responsible for management, regulatory & risk reporting, and advanced analytics. Our mission includes enhancing data quality via KPIs and migrating data platforms to modern, cloud-native ecosystems. We operate in an agile environment, committed to responsible data practices. Role Overview We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high‑performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud. This role focuses on building reliable, cloud‑native data products that enable advanced reporting, analytics, and decision‑making across the organization. Responsabilities Build scalable data pipelines : Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting. Develop SQL and BigQuery solutions : Write and optimize advanced SQL transformations and build performant, cost‑efficient BigQuery data models. Develop Python workflows : Implement scalable data processing solutions using Python and PySpark, ensuring maintainable and high‑quality code. Design data models and ensure quality : Build robust data models and apply validation practices to maintain accuracy and reliability. Build cloud‑native data solutions : Use GCP services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and GCS to build and operate modern data platforms. Optimize performance and reliability : Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance. Collaborate using strong engineering practices : Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards. Skills 5+ years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems. Strong expertise in SQL and hands‑on experience building performant datasets in BigQuery (or similar cloud data warehouses). Proven experience with Python and PySpark for scalable data processing in distributed environments. Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices. Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, GCS, or equivalent cloud data services. Hands‑on experience building scalable data pipelines (batch and near real‑time) in a cloud‑native environment. Proficiency with version control, CI/CD pipelines, and automated testing frameworks. Ability to troubleshoot and optimize performance across compute, storage, and processing layers. Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs. Nice to have Experience with Infrastructure‑as‑Code (Terraform, Ansible, Chef). Knowledge of shell scripting. Experience in financial services or regulated environments Well-being & Benefits Emotionally and mentally balanced: We support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health. Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and open-mindedness. A professional, passionate, and fun workplace. A modern office with fun and relaxing areas to boost creativity. Continuous learning culture with coaching and support from team experts. A culture where you can openly speak about mental health. Physically thriving: We support you managing your physical health by taking appropriate preventive measures

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-engineer-python-bigquery-f-m-x-at-deutsche-bank-ca8290

Source: https://jobsbylevel.com/jobs/senior-data-engineer-python-bigquery-f-m-x-at-deutsche-bank-ca8290

## Cite this page

Level. https://jobsbylevel.com/jobs/senior-data-engineer-python-bigquery-f-m-x-at-deutsche-bank-ca8290.

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