Data Software Engineer Jobs in Νομός Θεσσαλονίκης | Information Technology / IT
6 open positions from 2 companies
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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.
Required Skills
Essential skills needed for Data Software Engineer positions
Proficiency in Structured Query Language for managing and querying relational databases.
The process of creating data structures to represent and organize data effectively in databases or information systems.
Experience with Databricks, an analytics platform for big data and AI built on Apache Spark.
Proficiency in Python programming language for software development, automation, and data analysis.
Proficiency in Microsoft Excel spreadsheet software for data analysis and reporting.
Proficiency in Microsoft Word software for creating, editing, and formatting text documents.
Ability to examine, clean, transform, and model data to discover useful information and support decision-making.
Ability to design and use stored procedures in database management for efficient querying and data manipulation.
Expertise in Extract, Transform, Load processes for data integration and processing.
The practice of identifying business needs and determining solutions to business problems.
Additional Skills & Traits
Nice-to-have skills and soft skills that can help you stand out
Proficiency in using Git version control system to manage source code and track changes.
Expertise in packaging applications into containers and managing their deployment and scaling with orchestration tools.
A fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics.
Knowledge and application of DevOps methodologies to integrate software development and IT operations for faster delivery.
Experience with Microsoft Azure Data Factory for cloud-based data integration and workflow orchestration.
Expertise in using Microsoft Azure DevOps services for software development lifecycle management and continuous integration.
Ability to provide expert advice and solutions in a professional context.
Ability to prepare and analyze reports for management decision-making and performance tracking.
Expertise in Microsoft Fabric, a data integration and analytics platform for unified data management.
Experience working in the energy sector involving knowledge of energy markets, production, or distribution.
Ability to collaborate effectively with others to achieve common goals.
Ability to convey information clearly and effectively in verbal and written form.
Strong desire and motivation to continuously improve skills and achieve personal and professional development.
Thoroughness in completing tasks with accuracy and precision.
Enthusiasm and openness to acquiring new knowledge and skills.
Ability to assess information and situations logically to make informed decisions.
Ability to focus on setting and achieving objectives effectively.
Ability to identify issues and develop effective solutions efficiently.
Ability to systematically break down problems and analyze information to make informed decisions.
Ability to generate and implement new ideas, approaches, or solutions to improve processes or products.
Data Software Engineer Jobs - Νομός Θεσσαλονίκης
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Educational Background
Recommended education and qualifications for Data Software Engineer positions
Study of computational systems, programming, algorithms, and software development.
Study of designing, developing, testing, and maintaining software systems.
Study of numbers, quantities, shapes, and their relationships through abstract reasoning and logical deduction.
Study of matter, energy, and the fundamental forces of nature.
Study of data collection, analysis, interpretation, and presentation to make informed decisions.
Study of techniques and tools for collecting, storing, and organizing data efficiently.
Study of applying scientific principles to design, build, and maintain structures and machines.
Study of computer-based information systems, including their design, implementation, and management.
No specific academic field required; open to all educational backgrounds.