data engineer/databricks – cloud

10 Νοε 2026 · Code.Hub

Αττική·10 Νοε 2026

ΑττικήΦυσική παρουσίαΠληροφορικήΑορίστουΠλήρης

JOBILY AI ΣΥΝΟΨΗ

Τι θα κάνεις

Σχεδιάζεις και αναπτύσσεις δομές δεδομένων και αγωγούς δεδομένων για την υποστήριξη του έργου.
Αναπτύσσεις και συντηρείς λύσεις επεξεργασίας δεδομένων με Azure και Databricks.
Δημιουργείς αγωγούς δεδομένων με Azure Data Factory.
Αναπτύσσεις λύσεις επεξεργασίας δεδομένων με Python και PySpark.
Χρησιμοποιείς SQL για μετασχηματισμό, ανάλυση και επεξεργασία δεδομένων.
Συμβάλλεις σε δραστηριότητες data warehousing και data modeling.
Συνεργάζεσαι με τεχνικούς και επιχειρησιακούς ενδιαφερόμενους για την κατανόηση των απαιτήσεων δεδομένων.
Υποστηρίζεις την ανάπτυξη και τη συνεχή βελτίωση cloud-based λύσεων δεδομένων.

Βασικές προϋποθέσεις

4+ χρόνια εμπειρίας
Azure Data Factory, Databricks και Azure cloud services
SQL, Python και PySpark για επεξεργασία και μετασχηματισμό δεδομένων
Data engineering και data pipeline development
Data warehousing και data modeling
Αναλυτικές και επικοινωνιακές δεξιότητες, καθώς και ομαδική συνεργασία
English fluency, γραπτά και προφορικά

Παροχές

On-site μοντέλο εργασίας, signing bonus, ολοκαίνουργιος εξοπλισμός, ιδιωτική ασφάλιση υγείας, εκπαίδευση και mentoring, πρόσβαση στο LinkedIn Learning, επιδότηση εκπαίδευσης, ευκαιρίες career development, εσωτερικοί διαγωνισμοί και rewards.

Περιγραφή Θέσης

You will join a large-scale enterprise data engineering project within the Energy sector, working as part of a technical team focused on building and evolving modern cloud-based data solutions. In this role, you will work across data engineering, cloud technologies and Databricks, contributing to the design and development of data structures and pipelines that support the overall project.

Language Requirement: English, Greek

Minimum Years of Experience: 4

Key Responsibilities

Design and build data structures and data pipelines to support the overall project.
Develop and maintain data processing solutions using Azure and Databricks.
Build data pipelines using Azure Data Factory.
Develop data processing solutions using Python and PySpark.
Work with SQL for data transformation, analysis and processing.
Contribute to data warehousing and data modeling activities.
Collaborate with technical and business stakeholders to understand data requirements.
Support the development and continuous improvement of cloud-based data solutions.

Required Qualifications

4+ years of relevant professional experience in Data Engineering or a related field.
Hands-on experience with Azure Data Factory.
Hands-on experience with Databricks.
Experience with Azure cloud services.
Strong knowledge of SQL.
Experience with Python and PySpark.
Good knowledge of Data Warehousing concepts.
Experience with Data Modeling.
Strong analytical and problem-solving skills.
Good communication and teamwork skills.
Fluency in English, both written and spoken.

Nice-to-Have Skills

Experience with Azure Synapse Analytics or other Azure data services.
Knowledge of Delta Lake and Lakehouse architecture.
Experience with CI/CD and DevOps practices for data engineering.
Experience in Energy / Utilities or other large-scale enterprise environments.

Salary (Ind.): 2300-2800 € / Per month Gross

Let’s Talk About Us

On-site working model.
Signing Bonus.
Brand new equipment.
Exciting & friendly work environment.
Career & competencies’ development.
Continuous learning & development experience based on infinity model through Code.Hub’s Code.Learn.
L&D plan for your career improvement.
A truly open, inclusive, and competitive-free environment to grow your skills and have fun!
Internal competitions & rewards.

Let’s Talk About Code.Hub-ers

You are eligible to free LinkedIn trainings.
You are eligible to have free pass to all training Code.Learn activities after 6 months from your induction.
Training & Tech Mentor for your induction.
Unlimited access to LinkedIn Learning platform (1st semester).
Sponsoring of a Bachelor and/or Master’s Degree from Athens Tech College.
Private Health Insurance.
Performance planning each six months and each two years planning of promotion.
Cocktail Fridays @ our offices.
Referral Bonus.