Senior Data Engineer

DB Global Technology is Deutsche Bank’s technology center in Central and Eastern Europe. Opened in January 2014, the Bucharest office is constantly expanding.

The team is made up of enthusiastic professionals who work in an international environment, learning new technologies as part of Deutsche Bank’s businesses.

Changing the Bank is a challenging endeavor that we tackle every day and enjoy our success when our efforts fundamentally change how Deutsche Bank works.

Responsibilities:

As a Data Engineer within the Surveillance analytics space, you will be responsible for designing and implementing Data Engineering pipelines as defined by use cases defined by internal and external stakeholders. You will closely work with Data Architects, Data Analysts, Data Scientists and Machine Learning Engineers to understand their needs from a technical, but also from data governance perspective.

The pipelines are developed in a Google Cloud ecosystem using Apache Airflow (Cloud Composer), Apache Beam (Dataflow) or a combination of both depending on each use case. The standard pipeline may include batch data migration to cloud, data transformations of varying complexities, data enrichment and data serving for various use cases such as data analysis or machine learning training.

• Adopt an automation-first approach to testing, deployment, security and compliance of solutions through Infrastructure as Code and automated policy enforcement.
• As part of a development team, collaborate with other team members to understand requirements, analyses and refine stories, design solutions, implement them, test those and support them in production.
• Providing Level 3 support for technical components and contributing to problem and root cause analysis
• Collaborating with Functional Analysts and technical Specialists to complete work
• Ensure that the Bank’s SDLC controls are always adhered to.
• Participate in the agile ceremonies and contribute in backlog refinement and planning sessions.

Skills:

• [Must Haves] Python, SQL
• [Strong Plus] Apache Airflow (Cloud Composer), Apache Beam (Dataflow), BigQuery, Cloud Storage
• [Support Techs] Git, GitHub Actions, Terraform
• Engineering qualification with strong hands-on experience of working on enterprise-level level bigdata platforms and solution.
• Candidates with experience working in the payment domain will be preferred.

Well-being & Benefits:

• 24 days holiday + loyalty days + bank holidays (weekdays offered for bank holidays on weekend days);
• Flexible working hours and working from home;
• Private healthcare and life insurance;
• Kids@TheOffice - a helping hand in case of unexpected events forcing you to take care of your kids during work hours;
• A culture of continuous learning with coaching and support from experts in your team.

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.

Before applying, please read our data protection policy:

https://dbprivacy.ro/candidati.html?lang=ro