Data Engineer Jobs in Athens | Information Technology / IT

8 open positions from 3 companies

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About Data Engineer Jobs

A Data Engineer builds and maintains the pipelines, models and platforms that move and prepare data for analysis and applications.

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Required Skills

Essential skills needed for Data Engineer positions

SQLVery Common

Proficiency in Structured Query Language for managing and querying relational databases.

ETLVery Common

Expertise in Extract, Transform, Load processes for data integration and processing.

Data EngineeringCommon

The discipline of designing and building systems for collecting, storing, and analyzing data efficiently.

PythonCommon

Proficiency in Python programming language for software development, automation, and data analysis.

Data GovernanceCommon

Knowledge of policies and frameworks for managing data quality, security, and compliance across an organization.

Cloud PlatformsCommon

Experience with major cloud service platforms such as Microsoft Azure, Amazon Web Services (AWS), and Google Cloud Platform (GCP) for deploying and managing applications.

Machine LearningCommon

Ability to develop algorithms and statistical models that enable computers to learn from and make predictions based on data.

Data ModelingCommon

The process of creating data structures to represent and organize data effectively in databases or information systems.

SSISCommon

Expertise in SQL Server Integration Services for data extraction, transformation, and loading (ETL) processes.

PySparkCommon

Proficiency with PySpark, the Python API for Apache Spark for big data processing and analytics.

Additional Skills & Traits

Nice-to-have skills and soft skills that can help you stand out

Linux

Proficiency with the Linux operating system, including command line usage and system administration.

REST APIs

Understanding and ability to design and consume RESTful Application Programming Interfaces for web services.

Data Science

The discipline of extracting insights and knowledge from structured and unstructured data using scientific methods and algorithms.

Databricks

Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.

Delta Lake

An open-source storage layer that brings ACID transactions to Apache Spark and big data workloads.

Apache Spark

Experience with Apache Spark for large-scale data processing and analytics.

Docker and Kubernetes

Proficiency in containerization technologies Docker and Kubernetes for application deployment and management.

Apache Kafka

Apache Kafka is a distributed event streaming platform used for building real-time data pipelines and streaming applications.

Artificial Intelligence and Machine Learning

Knowledge and application of algorithms and systems that enable computers to learn and perform tasks intelligently.

MLflow

An open-source platform for managing the end-to-end machine learning lifecycle, including experimentation, reproducibility, deployment, and a central model registry.

Communication

Ability to convey information clearly and effectively in verbal and written form.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Continuous Learning

Commitment to constantly acquiring new knowledge and skills to improve oneself.

Mentoring

Ability to guide and support others to develop their skills and achieve their goals.

Accountability

Taking responsibility for one's actions and their outcomes in a reliable manner.

Adaptability

Ability to adjust effectively to new conditions and changes in the work environment.

Leadership

Ability to guide and motivate a group towards achieving goals effectively.

Time Management

Ability to plan and control how much time to spend on specific activities to increase efficiency and productivity.

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Analytical Skills

Ability to assess information and situations logically to make informed decisions.

Educational Background

Recommended education and qualifications for Data Engineer positions

Computer Science

Study of computational systems, programming, algorithms, and software development.

Engineering

Study of applying scientific principles to design, build, and maintain structures and machines.

Any Field

No specific academic field required; open to all educational backgrounds.

Mathematics

Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.

Seniority Distribution

Entry25%
Experienced75%

Experience Requirements

Average experience: 3.5 years
3-5 years100%