# Data Engineer (Junior to Mid level)

> improvIT · Athens, Greece (Hybrid) · Full-time · Posted 2026-07-20

**Workplace:** hybrid

**Department:** Data and Analytics Workforce

## Description

We are looking for a Data Engineer who will assist our high-calibre, financial services insurance clients to get useful insights from their data. This position is an excellent opportunity for a person who is passionate about data and analytics to participate in exciting projects and start or advance her/his career in the field.

ImprovIT is a niche technology consulting company providing services for the Insurance, sector, aiming to bridge the gap between Business and IT. Our services span solution implementation and systems integration, data warehouses/data marts and reporting/analytics, software development, enterprise architecture, business analysis, technical project management and insurance technology consulting.

A day in the life of the Data Engineer includes:

•         **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

**Must have**

•         **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

•         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

## Apply

[Apply at improvIT](https://apply.workable.com/improvit/j/DC5F607FB5/apply)

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