BI Developer

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Career is the first process that you will speak with developers (only) and tech (freak) experts Our client, is one of Greece’s leading energy providers, with a history dating back to 2000. As Greece’s first integrated energy provider, the company offers natural gas and electricity solutions to residential customers and businesses, combining reliability, innovation, and a strong customer-centric approach. Since becoming part of the international energy group Eni in 2018, our client has continued to evolve its services, investing in digital solutions and smarter energy experiences for its customers. With a strong presence in the Greek energy market, our client combines international expertise with a commitment to meeting the evolving energy needs of households and businesses across Greece. Through continuous innovation, digital transformation, and a focus on responsible energy use, the company aims to make energy simpler, smarter, and more accessible. Reliable energy. Digital innovation. A brighter future.

Key Responsibilities
• Collaborate with business stakeholders to understand reporting requirements and trans late business needs into effective BI and analytics solutions.
• Design, develop, and maintain interactive Power BI reports, dashboards, and scalable semantic models for enterprise reporting and self-service analytics.
• Develop efficient data models using BI best practices, including star schemas, fact and dimension tables, relationships, hierarchies, and calculated measures.
• Develop and optimize SQL queries and data transformations, working with trusted data from the organization’s Data Warehouse and Data Platform.
• Ensure the accuracy, reliability, quality, security, and performance of Power BI reports, datasets, and data refresh processes.
• Manage Power BI Service environments, including workspaces, access permissions, security, datasets, gateways, and refresh schedules.
• Analyze and combine data from multiple sources to deliver actionable insights and support data-driven decision-making.
• Collaborate with Data Engineering teams and other stakeholders to continuously improve BI solutions, integrate new data sources, and maintain appropriate technical and functional documentation Competencies
• Proven experience in collecting, analyzing, and documenting business and reporting requirements and translating them into effective Business Intelligence solutions.
• Strong understanding of Business Intelligence concepts, data visualization principles, and dashboard design best practices.
• Strong technical expertise in data modeling, including dimensional modeling, star schema design, fact and dimension tables, and semantic models.
• Strong analytical and problem-solving skills with the ability to understand complex business processes and translate them into data-driven solutions.
• Strong knowledge of data quality, data governance, data security, and master data principles.
• Ability to work effectively in a dynamic environment, manage multiple priorities, and deliver high-quality results within deadlines.
• Familiarity with Agile methodologies and excellent written and verbal English communication skills.
• Results-oriented approach with keen attention to quality, detail, accuracy, and consistency. Other Skills/Experience
• Strong hands-on experience with Microsoft Power BI, including Power BI Desktop, Power BI Service, Power Query, semantic models, datasets, and security management.
• Strong knowledge of SQL and experience writing complex and optimized queries.
• Experience designing, implementing and managing access and permissions within Power BI.
• Experience working with Power BI Service, including workspaces, applications, data flows, deployment pipelines, scheduled refreshes, gateways, and capacity management.
• Experience with Power BI performance optimization, including report optimization, data model optimization, and query performance analysis.
• Hands-on experience working with Databricks as a Data Platform or Data Warehouse backend.
• Understanding of Databricks architecture and concepts, including Delta Lake, Data bricks SQL, Lakehouse architecture, data layers, and data processing workflows.
• Experience consuming and querying curated datasets from Databricks using SQL and integrating Databricks with Power BI.
• Experience with Azure cloud technologies and data services, such as Azure Data Lake Storage, Azure Data Factory, and Azure SQL Database.
• Knowledge of modern Data Warehouse and Lakehouse architectures will be considered a strong advantage.
• Knowledge of data engineering concepts, ETL/ELT processes, and data pipelines will be considered an advantage.
• Experience working with enterprise data originating from CRM, Billing, ERP, Finance, and other operational information systems will be considered an advantage.
• Power BI certifications, such as Microsoft Certified: Power BI Data Analyst Associate (PL-300), will be considered a strong asset.
• Databricks certifications or relevant experience with Databricks technologies will be considered an asset.
• Familiarity with the Energy & Utilities business domain will be considered an advantage. Required Qualifications
• Bachelor’s Degree in Computer Science, Information Systems, Data Science, Business Analytics, Engineering, or a related field.
• Master’s Degree in Business Data Science, Business Intelligence, Data Analytics, Information Systems, or a related field will be considered an asset.
• 2+ years of professional experience in Business Intelligence, Data Analytics, Reporting, or a related field.
• 2+ years of hands-on experience designing, developing, and maintaining reports, dash boards, and data models using Microsoft Power BI.
• Strong experience working with Power BI Desktop, Power BI Service, Power Query, and SQL.
• Experience developing enterprise-level reports and dashboards that support opera tional, tactical, and strategic decision-making.
• Experience working with relational databases and data management platforms such as Microsoft SQL Server, Azure SQL Database, Azure Data Lake, Databricks, or similar technologies.
• At least 2+ years of experience working with modern data platforms, Data Warehouses, Data Lakes, or Lakehouse architectures.
• Experience working with Databricks and consuming data from a Databricks-based Data Warehouse or Lakehouse environment will be considered a strong advantage.
• Experience working in Agile or similar software development environments will be considered an asset. Nice-to-Have Skills
• Strong stakeholder management skills, with the ability to communicate complex data insights clearly to both technical and non-technical audiences.
• Experience with data storytelling, translating analytical findings into clear business recommendations and actionable insights.
• Proactive mindset, with the ability to identify opportunities for improving reporting processes and enhancing the overall user experience.
• Strong collaboration and relationship-building skills, particularly when working with cross-functional teams and external vendors. What They Offer
• Upon further discussion with our client.