For more than a decade, CML IT has been at the forefront of helping businesses attain their financial and branding objectives. Our journey has been marked by a commitment to core values and a relentless dedication to technology excellence.



Codlea, România


Data Engineer

Engagement:Full time



Must have skills:

  • Data Engineering
  • AWS
  • Cloud
  • Snowflake
  • Databricks
  • SQL

Good to have skills:

  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Data Analytics

Project description:

Our client is looking for a Data Engineer to help them create transparency within their departments, leveraging the power of data to create meaningful insights and statistics, track all commercial transactions and improve the AI/ML models.


  • Design, develop, test, debug, document and implement the artefacts of the UfC data platform as part of an agile team. This includes: Raw layer (blob storage), harmonizes data model and consumption layer, ingestion and transformation pipelines, data quality measures, AWS managed services required for the data architecture and reports / dashboards used by the customers.
  • Ensure fulfillment of non-functional requirements of the solution, such as performance, data protection, IT security and ergonomics/usability
  • Take over end-to-end responsibility over the implemented data assets and maintain them in production (DevOps mindset – you build it, you run it)
  • Work closely with the product owner and the data architect with the aim of meeting current and future user needs
  • Keep up with trends and evolving technology in the big data and analytics world


  • Solid experience as a data engineer or in a similar role
  • Master (MSc) or equivalent experience in a technical field (for example, Computer Science, Engineering…)
  • Strong Experience in setting up a data platform in a cloud environment (preferably in AWS)
  • Strong Experience in using state of the art data and analytics tools (Snowflake, Databricks or AWS Tooling incl. Glue, Kinesis, Athena etc.)
  • Experience with setting up real time data delivery and analytics modern tools like Kinesis Streams, Spark Streaming etc.
  • Familiar with the handling of large data sets
  • Knowledge of database technologies and fundamentals incl. coding proficiency in SQL
  • Being able to manage security topics in an enterprise environment
  • Excellent analytical, debugging, and problem-solving skills
  • Strong collaboration skills, ability to explore new paths and work in international teams
  • Experience working in cross-functional development teams using agile methodologies

About the client:

Our client is one of the world’s leading insurers and asset managers with operations in more than 65 countries.

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