Middle/Senior Data Engineer

About us

Meazon is a global innovator in energy data acquisition technology, recognized as the only winner of the US Department of Energy's wireless submetering challenge. We provide cutting-edge energy submeters and controllers connected to the cloud, enabling energy efficiency, preventive maintenance, demand-response, and distributed energy resources planning.

Our pioneering technology supports low voltage (LV) networks, integration of technologies such as EVs, and provides actionable energy data for enterprises and utilities. Meazon aims to disrupt the closed energy monitoring market by offering open, interoperable solutions for the global energy industry.

Currently, we are developing a next-generation IoT platform for large-scale monitoring and analytics. Our mission is to transform incoming device data into actionable insights, leveraging cloud-based data platforms, advanced analytics, and machine learning to enable predictive and preventive applications in critical infrastructure domains.

Role Description

This is a full-time on-site role based in Athens (Attica) or Patras (Achaia) for a Middle/Senior Data Engineer. We are seeking a professional with a solid engineering background and data architecture expertise to help design, implement, and scale our platform. You will work across IoT data pipelines, BI, and ML domains, shaping solutions that ensure data quality, reliability, and insight generation.

Responsibilities

• Design, build, and maintain scalable data pipelines for ingesting, processing, and storing IoT telemetry.

• Contribute to data architecture, modeling, and governance practices to ensure high-quality and secure data flows.

• Implement data solutions leveraging Azure Data Services (Data Lake, Synapse, Cosmos DB, SQL Database, Event Hub, Kusto/ADX, OneLake, Fabric) or equivalent technologies.

• Support analytics and BI teams with curated data sets for Power BI dashboards and reporting.

• Collaborate with ML engineers to deploy and scale machine learning pipelines (Azure ML or equivalent).

• Apply ML-based techniques to improve data quality, event detection, alarm validation, and predictive maintenance.

• Evaluate emerging data technologies to ensure our platform remains robust, efficient, and future-ready.

• Work with cross-functional teams (firmware, cloud, analytics, energy systems) to translate business requirements into data-driven solutions.

Must have Qualifications

• Legally authorized to work in Greece.

• Located within commutable distance to Athens (Attica) or Patras (Achaia).

• Bachelor's degree in computer science, Data Engineering, or Electrical Engineering.

• Professional hands-on experience with IoT data streams and time-series databases, including building cloud-based data hubs, pipelines, and tools.

• Strong background in low voltage (LV) networks, power electronics, power distribution networks, and smart grids.

• Understanding of demand-response systems and their role in modern energy infrastructure.

• Professional experience with cloud-based machine learning tools and frameworks.

• Professional experience with Azure cloud applications and services.

Other Qualifications

• Strong knowledge of data modeling, data warehousing, and big data architecture.
• Proficiency in SQL, Python, or Scala, with experience in distributed data processing (e.g., Spark, Flink, Databricks).
• Professional experience with NoSQL databases (Cosmos DB, DynamoDB, MongoDB).
• Professional experience with Agile methodologies (Scrum, Kanban).
• Professional experience with automated testing and benchmarking tools and frameworks
• Familiarity with data governance, security, and compliance practices.
• Strong communication skills to present solutions to both technical and non-technical stakeholders.
• Collaborate with cross-functional teams to define, design, and ship new features.

Nice to Have

• Azure Data Engineer Associate Certification or equivalent.
• Knowledge of streaming/messaging frameworks (Kafka, RabbitMQ, MQTT, MSMQ, etc).

Why Join Us?

• Opportunity to work on a cutting-edge IoT analytics platform with direct industry impact.
• Blend of data engineering and architecture responsibilities – both hands-on and strategic.
• A collaborative environment with experts across IoT, cloud, analytics, and ML.
• Competitive compensation and growth opportunities.