senior data software engineer remote
28 Ιουλ 2026 · EPAM Global
Τι θα κάνεις
- Σχεδιάζεις και αναπτύσσεις αρχιτεκτονικές δεδομένων και ETL pipelines με χρήση Databricks και Airflow
- Συνεργάζεσαι με ομάδες μηχανικής μάθησης για ενσωμάτωση AI-driven insights στην πλατφόρμα
- Υλοποιείς συστημικές βελτιώσεις και εξαρτήματα για αποδοτική μηχανική δεδομένων
- Βελτιστοποιείς πλατφόρμες δεδομένων για αύξηση επιδόσεων και κλιμάκωσης
- Τηρείς βέλτιστες πρακτικές μηχανικής λογισμικού, όπως containerization, unit testing, linting και κώδικα με συγκεκριμένο στυλ
- Εποπτεύεις και βελτιώνεις ροές δεδομένων, Delta Lake και Delta Live Tables στο Databricks
- Παρέχεις τεχνική καθοδήγηση και υποστήριξη σε άλλους μηχανικούς δεδομένων
- Επικοινωνείς αποτελεσματικά με πελάτες και ενδιαφερόμενους για ευθυγράμμιση λύσεων με τις ανάγκες τους
- Διαχειρίζεσαι αβεβαιότητα και ολοκληρώνεις αυτόνομα παραδοτέα έργων
Βασικές προϋποθέσεις
- Γνώση Databricks, Delta Lake, Delta Live Tables, workflows, deployment και versioning
- Εμπειρία Python και Spark/PySpark, με έμφαση σε cloud-native τεχνολογίες
- Σχεδιασμός και κατασκευή ETL pipelines με χρήση Databricks και Airflow
- Εμπειρία σε cloud πλατφόρμες AWS ή Azure
- Ικανότητες στη διαχείριση μεγάλων δεδομένων και βελτιστοποίηση επιδόσεων
- Δεξιότητες containerization, unit testing, linting και τήρησης κώδικα
- Engineeringκατά προτίμηση
Παροχές
- Ευκαιρίες απομακρυσμένης και υβριδικής εργασίας, επιλογή εργασίας από κεντρικό γραφείο στην Αθήνα, παροχή εταιρικού φορητού υπολογιστή, ιδιωτική ασφάλιση υγείας, κουπόνια γευμάτων, μηνιαία κάρτα μεταφοράς για υπαλλήλους στην Αθήνα, παγκόσμιο πελατολόγιο, εξαιρετική επαγγελματική ανάπτυξη, πολυάριθμες ευκαιρίες εκπαίδευσης και πιστοποιήσεων, και μαθήματα γλωσσών.
Περιγραφή Θέσης
We are searching for a Senior Data Software Engineer to guide the development of our forward-thinking supply-chain data analytics platform.
This platform offers a comprehensive perspective of suppliers, products, material categories, shipments, and compliance activities, leveraging artificial intelligence to provide actionable insights and custom recommendations for our clients.
If this role matches your career aspirations – apply today!
The remote option applies only to the Candidates who will be working from any location in Greece.
Responsibilities
Design and develop data architectures and ETL pipelines using Databricks and external orchestrators like Airflow
Collaborate with machine learning teams to incorporate AI-driven insights into the platform
Implement system-level enhancements and components for efficient data engineering
Optimize data-focused platforms to enhance performance and scalability
Ensure compliance with software engineering best practices, including containerization, unit testing, linting, and code style adherence
Oversee and improve data workflows, Delta Lake, and Delta Live Tables within Databricks
Provide technical mentorship and support to data engineers on the team
Engage effectively with clients and stakeholders to align solutions with their needs
Navigate uncertainty and independently complete project deliverables
Requirements
Background in leading data engineering projects with the Databricks platform
Knowledge of data architectures and data modeling
Skills in designing and building ETL pipelines utilizing Databricks and external orchestrators (e.g., Airflow)
Proficiency in using Databricks (Delta Lake, workflows, Delta Live Tables, deployment, and versioning)
Expertise in Python with a focus on cloud-native technologies
Proficiency in Spark/PySpark
Background in engineering with either AWS or Azure
Skills in handling big data and optimizing performance in data-intensive environments
Strong initiative combined with experience interacting directly with clients
Adaptability to manage ambiguity and independently drive outcomes
Competency in operating within a fast-paced startup environment with transparency
Fluency in English at a B2 level
Nice to have
Familiarity with setting up or maintaining CI/CD pipelines on Azure DevOps
Understanding of Data Observability and approaches to Data Quality Monitoring
Background in integrating data quality checks into data pipelines
We offer
For you:
Remote and hybrid work opportunities
Option to work from our centrally located office in Athens
Corporate laptop provided
Option to work on your own device
Private health insurance
Meal vouchers / restaurant tickets
My Benefit card (additional benefit card from Edenred of 22€ per month (264€ per year)
Monthly transportation card for those located in Athens to use public transportation to visit the office and/or clients
For your growth:
Global and diverse client portfolio, large-scale projects, and trendy technologies
Diverse multicultural, multi-functional, and multilingual work environment
Opportunity to contribute to internal and open-source products
Outstanding career development opportunities with a transparent career path and a roadmap to accelerate your journey
Possibility to create a Personal Development Plan from the first day in the company
Numerous opportunities for self-development: hard & soft skills internal training courses, mentoring programs, and unlimited access to LinkedIn Learning courses, external e-Libraries
Certification opportunities
Knowledge-sharing with colleagues from EPAM's global tech and non-technical communities
Language courses
EPAM strives to provide its global team of over 61,700 professionals in more than 55 countries with opportunities for professional growth from day one of collaboration. Our colleagues are the source of EPAM's success, so we value cooperation, strive to always understand our clients' business and aim for the highest quality standards. No matter where you are, you will join a dedicated, diverse community that will help you realize your potential to the fullest
