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IKNOWHOW SA

Data Engineer

Reposted 18 Hours Ago
Be an Early Applicant
In-Office
Athens
Entry level
In-Office
Athens
Entry level
The Data Engineer will collect, clean, analyze large datasets, design dashboards, collaborate with teams for insights, and ensure data integrity.
The summary above was generated by AI

iKnowHow S.A. is a leading Software & Robotics Solutions company operating internationally. Within just a couple of years, our team has grown by more than 80%, we have moved into a new spacious and modern office, and we have embarked on several exciting projects in digital transformation, custom software, and robotics.

We are now looking for a highly motivated Data Engineer to work in new challenging outsourced projects.

Responsibilities:

  • Collect, clean, and analyze large datasets to identify trends and patterns.
  • Design and maintain dashboards and reports for various stakeholders.
  • Collaborate with cross-functional teams to understand data needs and provide actionable insights.
  • Develop and maintain robust, well-structured data models to support effective data analysis and generate actionable insights
  • Develop predictive models to support decision-making processes.
  • Ensure data accuracy and integrity by performing routine checks and validations.

Requirements
  • Bachelor's degree in Data Science, Statistics, Mathematics, Computer Science, or a related field
  • Knowledge of data modeling methodologies and Data warehousing practices
  • Strong knowledge of programming languages such as SQL Server, SSIS, Python
  • Experience in data visualization tools such as Tableau, Power BI, or similar
  • Experience in ETL processes
  • Excellent analytical and problem-solving skills

Nice to have:

  • Knowledge of Microsoft Fabric (Data Factory/ Databricks / SparkSQL)

Benefits
  • An attractive salary package
  • Private health insurance plan
  • Career development and growth opportunities
  • An amazing private & open-office workspace in Athens
  • Continuous training via personalized seminars
  • Stable and enjoyable working environment #LI_Hybrid

Top Skills

Data Factory
Databricks
Microsoft Fabric
Power BI
Python
Sparksql
SQL Server
Ssis
Tableau

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