Volos Plant, Magnesia, Greece, Volos Plant, Magnesia, Greece, Volos Plant, Magnesia, Greece, 38446
Live, first seen by us 22 days agoGather business requirements and translate them into technical data specifications
Design, develop, test and optimise ETL/ELT pipelines and data models
Develop and maintain SQL data structures, dashboards and BI reports
Support data governance: definitions, metadata, lineage and documentation
Investigate data quality issues and coordinate corrective actions
gathering business requirements and translating them into technical data solutions
Designing, developing, testing, and optimising ETL/ELT pipelines, data transformations, and models
Developing and maintaining SQL-based data structures, datasets, dashboards, and BI reports
Supporting Data Governance by maintaining data definitions, business metadata, data ownership, lineage, and documentation.
identifying inconsistencies, investigating root causes, and coordinating corrective actions
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- 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.
- 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.
- 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.
- 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.
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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:
What you bring to the role:
Value-Based Behaviors:
Your Benefits:
At METLEN, we combine industrial expertise with a global outlook to help shape a more sustainable future. As a FTSE 100 company listed in London, we operate across the Energy and Metals sectors, with activities spanning five continents and more than 40 countries. In 2025, we recorded consolidated revenue of €7.107 billion and EBITDA of €753 million, supported by a workforce of over 9,000 dedicated individuals.
From integrated energy solutions and renewable technologies to green metallurgy, critical metals and advanced manufacturing, our work addresses some of the most significant challenges facing industry today. Our people make this possible through innovation, teamwork and a commitment to safety and continuous improvement. At METLEN, you can contribute to projects with global reach while developing your skills and helping create lasting value.
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At Metlen we are proud to have Diversity and Inclusion at the centre of everything we do. We are committed to Equal Employment Opportunity regardless of race, colour, national origin, ethnicity, gender, age, disability, sexual orientation, gender identity or religion.
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Volos Plant, Magnesia, Greece, Volos Plant, Magnesia, Greece, Volos Plant, Magnesia, Greece, 38446
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