Senior Data Engineer │ DOU

B2B

Data Science

remote

POSITION OVERVIEW

Within the Data Office of Digital bank, we have a dedicated Data Engineering team that works alongside our Architects, Analysts and Business Stakeholders to build our cutting edge data platform. This is a rare opportunity to join a digital bank and co-create infrastructure that collects, stores, aggregates and models data into the building blocks of the data-drive insights that drive our entire company. Don’t waste your chance to use such cutting edge fintech technologies.

Project Description:

Digital Bank: As Saudi Arabia’s first digital banking startup, we’re moving fast and embracing 12-factor app principles. Our focus is on codification (Infrastructure and Configuration as code), automation, immutability, CI/CD, and scalability, all in a secure, compliant environment. We’re building a culture of ambition, talent, curiosity, and collaboration where team members can grow, challenge one another, and create exceptional experiences for themselves, colleagues, and customers. Trust, respect, and opportunity are our core values, reflected in both action and policy.

Project Team Structure:

Our Engineering Team is expanding with Senior Software Developers, DevSecOps Engineers, Architects, and Designers who handle end-to-end platform ownership—from architecture to infrastructure. They excel individually but work collaboratively, applying best practices and automating everything to create world-class software. This greenfield project is a fully funded, cutting-edge startup where you’ll engage in all delivery lifecycle aspects, working with DevSecOps, POs, and external partners on integration. Our team is remote-friendly across the UK, EU, and GCC, with regular meet-ups to foster effective collaboration and relationships.

YOUR BACKGROUND

At least 4 years experience in IT or a related Engineering Role.
Experience with Airflow and other data engineering workflow management tools.
Experience with Python, Scala, or Java.
Experience with cloud computing platforms such as AWS, Azure, or GCP.
Experience with SQL and NoSQL databases.
Experience with Kubernetes, Docker or other container services.
Specific domain knowledge of blocks of Financial Services capabilities (for example, Banking Products, Risk, Compliance, Customer Service, Finance, Treasury, Channel Applications, etc.) and their impacts on data architecture.
Demonstrable experience in creating valuable solutions in a large scale enterprise class business and experience of dealing with C-suite decision makers.
Particular experience in building Cloud based solutions in any delivery method (SaaS, PaaS, IaaS) is a significant benefit.
Experience in building and utilizing data related systems and capabilities is essential. Exposure to RDBMS and NoSQL structured data services, data quality, master data management, test data management, MI and BI solutions are essential.
Experience of Agile delivery and ways of working.
English level — B1+/B2.

RESPONSIBILITIES

Design, develop, and maintain data pipelines and infrastructure using a variety of big data technologies, such as Apache Airflow, and Python.
Work with data scientists and engineers to collect, process, and analyze data to support the bank’s business needs.
Build and maintain data models that accurately represent the bank’s data.
Implement data governance and security best practices to ensure the integrity and confidentiality of the bank’s data.
Collaborate with other teams across the bank to deliver data-driven solutions.
Create data related solution designs, supported by our data architects.
Contribute to and create reusable pattern and template documents.
Liaise with all required stakeholders to ensure Features and Epics are clear.
Highlight required software and deliver the rationale for selection.
Raise all required new data solutions and catalogue entries to the relevant EA and prepare content for approval of these at the relevant governance forum.
Create data solution analysis content discussing the rationale for selection of a given piece of technology.