Senior Data Engineer

Senior

Dot

Full time

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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.

Currently, we are looking for engineers who are outside of Ukraine and can start the working day at 9:00 AM KSA Time Zone.

Project Description:

Being the first ever startup in the digital banking space in Saudi Arabia, we are progressing at a rapid speed. Things are happening and happening often. Building greatness in a disruptive era requires strong ambition, talent, curiosity, diversity of thought and a belief that we’re better together. We want our colleagues to grow whilst with us so we’ve created an environment that encourages everyone to learn, challenge each other and create extraordinary experiences for themselves, their colleagues and our customers. Trust, Respect and Opportunity is key, and we’re very keen to show that in practice not just in written policy.

Here you will be embracing 12 factor app philosophies and driving key deliverables to our applications and services. We believe in codification (Infrastructure and Configuration as code), automation, immutability, CI/CD and scalability — all for the benefit of our customers and users within a secure and continuously compliant environment.

YOUR BACKGROUND

  • At least 5 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.

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.

WE OFFER

  • Clearly described business processes in the company that really work
  • Fair and competitive compensation
  • Regular updates on company news, Q&A sessions with top management
  • Flexible work schedule
  • Remote work mode
  • Partial coverage of co-working costs
  • 23 billable days off