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Data Engineer (Remote - Europe) at Jobgether. This position is posted by Jobgether on behalf of Coverflex. We are currently looking for a Data Engineer in Europe.. As a Data Engineer, you will play a central role in designing, building, and maintaining scalable data systems that power decision-making and innovation. You will collaborate closely with cross-functional teams to transform raw data into clean, reliable, and actionable insights, ensuring data pipelines are robust, efficient, and future-proof. This position offers the opportunity to work with modern tools and cloud environments, driving data architecture and enabling analytics across the business. You’ll join a fast-growing environment where your expertise will directly shape products and empower stakeholders to make smarter, data-driven decisions.. . Accountabilities:. . Build, manage, and optimize scalable data systems and pipelines, while contributing to their overall architecture.. . Transform, organize, and evaluate raw data into clean, structured, and reliable datasets.. . Collaborate with engineers, product managers, and analysts to turn business needs into technical solutions.. . Integrate and combine data from multiple sources to support analytics, predictive, and prescriptive modeling.. . Continuously monitor and improve data pipeline performance, quality, and reliability.. . Contribute to the development of a semantic layer and self-service analytics for internal stakeholders.. . Identify opportunities for new data acquisition, enrichment, and automation.. . . At least 3 years of experience as a Data Engineer or in a similar role.. . Strong expertise in DBT, SQL, Python, and data orchestration frameworks (Prefect or similar).. . Proven experience with ETL/ELT processes, data modeling, data mining, and big data processing.. . Hands-on experience designing and maintaining pipelines in cloud environments, ideally Google Cloud Platform (GCP).. . Proficiency with relational databases and handling semi-structured/tabular data.. . Familiarity with BI and analytics tools such as Lightdash or Hex.. . Strong analytical, numerical, and problem-solving skills.. . Degree in Computer Science, Engineering, IT, or a related field.. . Company Location: United Kingdom.