Data Software Engineer Jobs in Athens | Information Technology / IT

8 open positions from 3 companies

Search Jobs

About Data Software Engineer Jobs

A Data Software Engineer develops and maintains data infrastructure and software applications that enable efficient data processing and analytics. They work closely with data scientists and engineers to design scalable data pipelines, optimize performance, and ensure data quality. This role is crucial in industries like finance, technology, and healthcare, offering strong growth prospects in data-driven careers.

Find your next employer

Discover active opportunities with leading companies

Required Skills

Essential skills needed for Data Software Engineer positions

ETLVery Common

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

SQLVery Common

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

Data ModelingCommon

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

PySparkCommon

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

PythonCommon

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

Microsoft SQL ServerCommon

A relational database management system developed by Microsoft for storing and retrieving data as requested by other software applications.

OracleCommon

Knowledge and experience in Oracle database management systems for data storage and retrieval.

Azure Synapse AnalyticsCommon

Expertise in using Azure Synapse Analytics for integrated analytics and big data processing.

SQL Server

Experience with Microsoft SQL Server database management system for data storage, retrieval, and management.

Business Intelligence

The ability to collect, analyze, and present business data to support decision-making.

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.

Containerization and Orchestration

Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.

Apache Airflow

Experience with Apache Airflow for programmatic workflow management and scheduling.

Tableau

Proficiency in Tableau software for data visualization and business intelligence reporting.

Databricks

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

Apache Spark

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

Apache Kafka

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

Control-M

Experience with Control-M, a workload automation software for scheduling and managing batch jobs.

Apache Flink

A framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Qlik

Expertise in using Qlik software for business intelligence, data visualization, and analytics.

Teamwork

Ability to collaborate effectively with others to achieve common goals.

Communication

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

Problem Solving

Ability to identify issues and develop effective solutions efficiently.

Mentoring

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

Time Management

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

Initiative

Ability to take proactive actions and independently start tasks without being prompted.

Willingness to Learn

Enthusiasm and openness to acquiring new knowledge and skills.

Analytical Thinking

Ability to systematically break down problems and analyze information to make informed decisions.

Accountability

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

Continuous Learning

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

Educational Background

Recommended education and qualifications for Data Software 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%