Data Engineer – Junior to Mid Level

improvIT

Data Engineer working with financial services insurance clients to extract insights from data. Involved in data discovery, pipeline development, and collaboration with data architects.

Posted 7/20/2026full-timeAthens • 🇬🇷 GreeceJuniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Data Discovery, Extraction, and Transformation, with a strong foundation in Data Pipeline Development and Data Model Design. Proficient in Data Analysis, Visualization, and Reporting, with advanced numerical and analytical skills.

Highest-signal resume keywords

Data Pipeline DevelopmentData TransformationProgramming Language ProficiencyETL Tools FamiliarityData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data DiscoveryData ExtractionData TransformationData Model DesignRequirements AnalysisData AnalysisData VisualizationReportingNumerical SkillsAnalytical Skills

Tools & Technologies

PythonJavaC#SQL ServerMySQLSAP HANAOraclePostgreSQLPowerBITableau

Certifications & Qualifications

Bachelor's DegreePost-Graduate Degree

Industry Keywords

ETLData EngineeringCloud Data StacksMachine LearningAI Concepts

Tech Stack

Tools & technologies

AWSAzureCloudETLInformaticaJavaMySQLOraclePostgresPythonSQLSSISTableau

About the role

Key responsibilities & impact

**Data Discovery** and **Extraction** from multiple sources (transactional systems, files,
online sources etc.)
Development of **Data Pipelines**
**Data Transformation** and **Cleansing**
**Data Model Design** in collaboration with data architects
**Requirements Analysis** in collaboration with business analysts
**Data Analysis, Visualization**, and **Reporting**

Requirements

What you’ll need

**Bachelor's degree** in Computer Science, Engineering, or other numerate disciplines, ideally combined with a post-graduate level degree.
**Advanced numerical and analytical skills** coupled with the desire to study and learn business domains in depth
Good command of at least one **programming language** like Python, Java, C# or any other modern language
Familiarity with at least one **DBMS** (SQL Server, MySQL, SAP HANA, Oracle, PostgreSQL., etc.)
Acquaintance with **ETL tools** like SSIS, Data Factory, Informatica, Talend, SAP BW or similar
Familiarity with **Data Visualization** and **Analysis** tools like PowerBI, Tableau, Qlik, SAP Analytics Cloud or similar
Excellent command of English and Greek
For Junior Candidates: 1+ years of professional experience (or strong relevant internships/projects), a solid grasp of data engineering fundamentals and eagerness to learn
For Mid-level Candidates: 2-4 years of hands-on data engineering experience, proven ability to independently build and monitor production data pipelines and experience optimizing data workflows
**Nice to have**
Familiarity with cloud Data Stacks (Azure, AWS, Snowflake, etc.)
Machine Learning and AI Concepts

Benefits

Comp & perks

Excellent remuneration package
Private Life and Health Insurance Plan
Comprehensive training programs
A stimulating multi-national working environment and a great business culture!
Great career advancement opportunities