Τι θα κάνεις
- Συνεργάζεσαι με επιχειρησιακούς χρήστες για τη συλλογή και τεκμηρίωση απαιτήσεων, KPIs και αναγκών αναφορών.
- Αναλύεις απαιτήσεις έργων δεδομένων, αξιολογείς πηγές και εντοπίζεις κενά και ανάγκες.
- Μεταφράζεις επιχειρησιακές απαιτήσεις σε τεχνικές προδιαγραφές, data models, κανόνες μετασχηματισμού και λύσεις αναφορών.
- Εντοπίζεις πηγές δεδομένων και αξιολογείς τη διαθεσιμότητα και την ποιότητά τους.
- Σχεδιάζεις, αναπτύσσεις, δοκιμάζεις και βελτιστοποιείς ETL/ELT pipelines, μετασχηματισμούς και data models.
- Αναπτύσσεις και συντηρείς SQL δομές δεδομένων, datasets, dashboards και BI reports.
- Υποστηρίζεις το Data Governance με ορισμούς δεδομένων, metadata, ιδιοκτησία, lineage και τεκμηρίωση.
- Εντοπίζεις ασυνέπειες δεδομένων, διερευνάς τις αιτίες και συντονίζεις διορθωτικές ενέργειες.
- Ενσωματώνεις δομημένα και ημιδομημένα δεδομένα με υπηρεσίες Microsoft Azure και εταιρικές πλατφόρμες.
- Παρακολουθείς την ποιότητα δεδομένων και την απόδοση pipelines και συντονίζεις την επίλυση προβλημάτων.
- Υποστηρίζεις UAT, τεκμηρίωση, deployment και συνεχή βελτίωση λύσεων.
Βασικές προϋποθέσεις
- 4+ χρόνια εμπειρίας
- SQL και Python για επεξεργασία, μετασχηματισμό και ανάλυση δεδομένων.
- Σχεδιασμός ETL/ELT pipelines, data modeling και λύσεων data warehouse.
- Microsoft Azure, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics και Databricks.
- Power BI και data visualization για reports και dashboards.
- Data Governance και διαχείριση data quality.
- Ανάλυση business requirements και μετάφρασή τους σε τεχνικές προδιαγραφές.
Παροχές
- Ανταγωνιστικό πακέτο αποδοχών, Ticket Restaurant Card, ομαδικό πρόγραμμα ασφάλισης υγείας, προνομιακό πρόγραμμα ηλεκτρικής ενέργειας για το νοικοκυριό και Pension Plan.
Περιγραφή Θέσης
We are looking for a Senior Data Engineer to join our Data Management Team. The role will be based at M Technologies’ site in Volos, Greece.
In this role, you will act as a key link between business stakeholders, the Technology & Security department, and the central Data Management team, gathering business requirements and translating them into technical data solutions. You will contribute to the delivery of data engineering, data analysis, and Business Intelligence initiatives, ensuring that business needs are transformed into reliable data pipelines, meaningful insights and effective reporting solutions.
Working across the full project lifecycle, from requirements gathering and data profiling to solution development, testing and deployment, you will support the evolution of M Technologies’ OT/IT data ecosystem and contribute to data-driven decision-making.
Your role will encompass:
Collaborating with business users and stakeholders to gather and document business requirements, data needs, KPIs, and reporting expectations.
Analysing data project requirements, assessing existing data sources, identifying gaps, and defining the scope, technical approach, and teams involved.
Translating business requirements into technical specifications, data models, transformation rules, and reporting solutions.
Identifying data sources, assessing data availability and quality, and defining requirements for integrating datasets into the enterprise data platform.
Designing, developing, testing, and optimising ETL/ELT pipelines, data transformations, and models for operational and analytical use cases.
Developing and maintaining SQL-based data structures, datasets, dashboards, and BI reports to support business performance monitoring.
Supporting Data Governance by maintaining data definitions, business metadata, data ownership, lineage, and documentation.
Promoting data quality by identifying inconsistencies, investigating root causes, and coordinating corrective actions with business and technical teams.
Working with Microsoft Azure data services and enterprise platforms to integrate structured and semi-structured data from business and industrial systems.
Collaborating with Data Engineers, Data Governance specialists, Business Analysts, and the Technology & Security department to deliver data initiatives and uphold data standards.
Monitoring data quality and pipeline performance, troubleshooting discrepancies, and coordinating issue resolution.
Supporting User Acceptance Testing (UAT), documentation, deployment, and continuous improvement to ensure solutions meet business, technical, and data quality requirements.
What you bring to the role:
4+ years of relevant experience in Data Engineering, Data Analysis, Business Intelligence, or a related discipline.
Strong SQL skills and practical experience with Python for data processing, transformation, and analysis.
Experience designing and developing ETL/ELT pipelines, data models, and data warehouse solutions.
Familiarity with cloud data platforms and technologies such as Microsoft Azure, Azure Data Factory, Azure Data Lake, Azure Synapse Analytics, Databricks, or Microsoft Fabric.
Experience with BI and data visualisation tools, such as Power BI, and the development of reports and dashboards.
Understanding of Data Governance, data quality, metadata management, data ownership, data cataloging, and data lineage principles.
Experience gathering and analysing business requirements and translating them into technical specifications, with the ability to identify required activities and coordinate with relevant stakeholders.
Strong analytical and problem-solving skills, with the ability to communicate effectively with both technical and non-technical stakeholders.
Previous experience in manufacturing, industrial, metals, energy, or OT/IT environments will be considered an asset.
Value-Based Behaviors:
People & Personal Growth
Results Orientation & Safety Excellence
Collaboration & Trust
Empathy & Effective Communication
Flexibility & Adaptability
Your Benefits:
Competitive remuneration package
Ticket Restaurant Card
Group Health Insurance Plan
Preferential household electricity plan
Pension Plan




