Senior Data Engineer

Are you a Data & Analytics Engineer who enjoys building scalable data foundations while turning data into actionable insights that drive business decisions?This role sits within a growing Communications Engineering/Analytics function in the Energy sector, focused on enabling data-driven decision-making across internal and external communications channels.You'll operate at the intersection of data engineering, analytics, reporting, and emerging AI-enabled analytics capabilities - helping to build the data infrastructure that powers insights, dashboards, and intelligent analytics solutions.This is a hands-on role where you'll work closely with Business Analysts, AI Engineers, and analytics stakeholders to deliver scalable data solutions and meaningful business outcomes.Your Role as a Data & Analytics Engineering Specialist:You will be responsible for building and maintaining the data platforms, pipelines, and reporting capabilities that support communications measurement and analytics.Working across engineering and analytics activities, you'll ensure that data is reliable, accessible, and transformed into valuable insights that support business decision-making.You'll also collaborate on emerging AI-driven analytics initiatives, helping bridge the gap between traditional analytics and next-generation intelligent solutions.What You'll Do:Collect, clean, validate, and transform data from multiple sourcesBuild, maintain, and optimise ETL pipelines and data workflowsSupport and enhance the Communications data lake environmentDevelop analytics-ready datasets that enable scalable reporting and analysisPerform data analysis to uncover trends, insights, and business opportunitiesDesign and develop Power BI dashboards and reporting solutionsCollaborate closely with Business Analysts to translate business requirements into data solutionsSupport AI-enabled analytics initiatives alongside AI Engineering teamsEnable self-service analytics capabilities for business usersMaintain technical documentation and development artefactsEnsure data governance, privacy, and compliance standards are metMonitor data quality and continuously improve data reliabilityWhat You'll Bring:Strong experience with Python and SQLExperience building and maintaining ETL pipelines and data integration solutionsGood understanding of databases, data modelling, and analytics workflowsHands-on experience with Power BI and dashboard developmentExperience working with cloud-based data platforms such as Azure, AWS, or SnowflakeStrong analytical mindset with the ability to translate data into business insightsExperience supporting reporting, analytics, and data-driven decision makingUnderstanding of data governance, privacy, and quality principlesAbility to work effectively with both technical and non-technical stakeholdersExperience operating within large enterprise environments is advantageousExposure to AI-enabled analytics, automation, or intelligent agent solutions is a plusWhy Join the Remobi community:Fully remote, b2b/freelance contractsOpportunity to work on large-scale data, analytics, and AI transformation programmesAccess to a network of experienced data, AI, and engineering professionals across Europe👉 Apply today:If you're passionate about building scalable data solutions, enabling analytics at scale, and contributing to innovative AI-driven initiatives, we'd love to hear from you!