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Data Engineer at Landmark Information Group. Location Information: Remote. . . Data Engineer. . Remote (UK Only). . Hiring Manager: . Tamara Carpintero. . The Opportunity. . Are you ready to make a significant impact on the future of data? We have an exciting opportunity for a Data Engineer to join our Data Engineering team - ideal for experienced professionals who are ready to lead, innovate, and energise those around them. As a 100% data-driven company, we pride ourselves on employing the best engineering practices across our products and solutions. This role offers a broad and varied experience within our Data Engineering function, empowering you to create data-as-product solutions that drive real change.. . In this role, you will:. . . Assemble Large, Complex Data Sets:. Craft and manage data sets that meet both functional and non-functional business requirements.. . Build Advanced Data Solutions. : Develop the software and infrastructure for optimal data extraction, transformation, migration and ingestion using leading cloud technologies like Azure.. . Leverage Big Data Technologies:. Utilize tools such as FME, Hadoop, Spark, and Kafka to design and manage large-scale data processing systems.. . Extend & Maintain Data Warehousing:. Support and enhance the . ETL. , Data Lakes, Data Processing and Data Warehouse solutions crucial for Landmark's customers and reporting solutions.. . Ensure Cost Efficiency:. Keep the Data tools and its solutions within agreed cost models and budgets.. . Lead by Example:. Provide thought leadership, inspiring and guiding our team through excellence.. . . . About You. . We're looking for a passionate and motivated Data Engineer — someone who thrives on solving complex problems, inspires others, and brings a positive, proactive mindset to the team.. . . The ideal candidate will possess:. . Extensive experience in data engineering across both Cloud & On-prem environments. . Expert knowledge in data technologies, data transformation tools, data governance techniques.. . Exceptional coding skills.. . Strong analytical and problem-solving abilities.. . Good understanding of Quality and Information Security principles.. . Hands-on experience with Azure (coding, configuration, automation, monitoring, security). . Advanced Database and SQL skills. . Effective communication, ability to explain technical concepts to a range of audiences. . A Strong grasp of data model design and implementation principles. . The ability to coach and support less experienced team members. . Essential skills:. . . ETL Tools such as FME, Azure Data Fabric (ADF), etc. . Languages such as Python and SQL. - Nice to have: R, Spark, Java, . PySpark. , Spark SQL, etc. . Cloud expertise such us Azure Blob storage, CosmosDB, RabbitMQ in Azure, ADF, etc. . SQL, Postgres or Data warehousing design patterns and implementation. . . . Nice to have skills:. . . HDFS, Hadoop, or other on-prem Big Data technologies. . Familiarity with Salesforce in data integration scenarios. . Experience with Data Lakes. . Exposure to Geospatial data is a plus.. . . . . . .