Nortal is hiring a

Data Engineer/NEOS

Riyadh, Saudi Arabia

At Nortal we believe in thinking big – creating solutions that have a meaningful, far-reaching impact, whether through digitizing governments, improved healthcare, convenient telecom services or creating a competitive edge and agility for large businesses, industry, and manufacturing companies. Our projects have touched more than half a billion people’s lives worldwide, and we’re just getting started. Combining that with the unique experience of transforming Estonia into a digital leader, our vision is to build a Seamless Society. 

To reach our ambitious goals, we are looking for Data Engineer. 

This position is perfect for you if you: knowledge and areas of responsibilities

  • Create and maintain optimal data pipeline architecture
  • Build the infrastructure for optimal extraction, transformation, and loading of data
  • Implement data workloads, ETL, streaming or messaging solutions to connect a variety of sources
  •  Monitor performance and advise on any necessary optimizations or infrastructure changes
  • Maintain up to data source to target mappings and relevant documentation for all code
  • Establish and maintain the set of business reporting requirements
  • Design and manage appropriate metadata repositories for greater understanding of data assets
  • Show good understanding of code versioning tools, such as Git and CI/CD in general
  • Prefer to work on agile software development projects with globally distributed teams
  • Have good communication skills (spoken and written) with fluent English as essential
  • Own bachelor’s degree in computer Science, computer engineering, or a closely related field
  • Have at least 3 years of data engineer or other relevant experience 

Technical skills and qualifications

  • Own query or general programming languages like SQL,Python, R, Scala, Java, Ruby, PHP, Go, and/or Swift
  • Are experienced in ETL tooling/concepts
  • Have hands on knowledge of Python and/or Java
  • Understand concepts of data lakes, data warehouses, data integration, and data consumption
  • Are familiar with big data technology stack (e.g., Hadoop, Spark, Kafka)
  • Gained experience manipulating, processing, and extracting value from large, disparate datasets
  • Know any common data analytics applications (e.g., Snowflake, Azure Data Factory, Power BI, SAS, Tableau)
  • Know any open-source technology, particularly Apache Foundation (e.g., Apache Atlas or Apache Superset)
  • Experience with NoSQL databases, such as MongoDB
  • Have experience with on-premises or any major cloud platform, such as Azure, AWS, and Google Cloud

We offer:

  • first-hand experience in building high-impact cognitive city solutions
  • great career opportunities with constant improvement, high-quality training to develop skills and gain new experiences
  • work in an international team of experts and via various Nortal offices
  • an inspiring developer community within Nortal with 1000+ global advocates to boost your personal growth
  • impact within the team and the company, contributing to the decision-making
  • great people-oriented atmosphere. We strive to create an environment where people can feel comfortable, focus on work, and recharge batteries when it is needed to keep a healthy balance 
  • cozy offices with parking, joint sports activities, free drinks and fruits and private health insurance

We like to say that Nortal is a right-sized company – big enough to undertake and impact influential projects yet small enough to care. At Nortal, your voice is heard, and everyone’s input matters. You solve critical problems for interesting customers from different domains. You work with experienced colleagues in a warm environment. You can execute your ideas in a reasonable time frame. And what you do and learn here are universally relevant and valuable. Last, but not least, Nortal is an agile company with low hierarchy – meaning heavy on common sense, light on rules, and substance is more important than titles! One more thing… This position can be both office-based and remote.


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