Senior Data Analytics Engineer

Company Description

Eunice Energy Group, founded in 2001, is a pioneering organization in Greece’s renewable energy sector. With a comprehensive focus on developing, constructing, owning, and operating renewable energy projects, the Group specializes in innovative hybrid solutions combining wind, photovoltaic (PV), storage, and smart-grid technologies. As a key partner in the European Union’s HORIZON 2020 project, the Group is leading efforts to build and operate renewable hybrid systems on Tilos Island. Additionally, Eunice Energy Group is advancing wind turbine manufacturing and research, further contributing to sustainable energy solutions. The Group is committed to driving forward renewable energy innovations with an emphasis on sustainability and cutting-edge technology.

About the role

Join our newly formed Data & AI team, within a well-established central Technology organization, to help build the next generation of EUNICE's Energy Portfolio Intelligence platform. You'll sit at the intersection of Data Engineering, Data Science, Trading, Forecasting, and Operations — turning market, forecasting, and portfolio data into trusted analytical products that drive decisions across the company.

What you'll do

· Build and maintain analytical datasets and data products for Trading, Forecasting, Operations, and Portfolio Management.

· Design core analytical assets: Asset Master, Portfolio Position, Forecast vs Actual, Exposure Analysis, Revenue Attribution, Settlement Analysis, and Portfolio KPIs.

· Develop curated, business-ready data layers within our AWS lakehouse.

· Write SQL and Python transformations (dbt) that standardize business logic, KPIs, and analytical calculations.

· Support Grafana dashboards and analytical reporting workflows.

· Partner with Trading, Forecasting, Operations, and Commercial teams to translate business requirements into analytical solutions.

· Drive data quality, governance, and KPI standardization.

What you bring

· 4+ years in Analytics Engineering, BI, Data Analytics, or Data Science.

· Advanced SQL and strong Python.

· Solid data modeling and analytics engineering; dbt experience strongly preferred.

· Experience with PostgreSQL, Athena, or similar analytical databases.

· Grafana, Power BI, or Tableau.

· AWS analytics (Athena, S3, Glue) and Git — a plus.

· Energy, Utilities, Trading, or Financial Services background strongly preferred.

· Bachelor's in Computer Science, Statistics, Mathematics, Engineering, Economics, or a related field; Master's a plus.

Who you are A clear communicator who bridges business and technical worlds, thrives in cross-functional teams, and turns messy business processes into reusable analytical products.