About this role
Salary: £61,000 - 101,000 per year
Requirements: 6 years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments4 years of hands-on experience designing and implementing solutions on the Databricks Lakehouse PlatformStrong expertise in Apache Spark, SQL, Python, Delta Lake, and modern data engineering practicesExperience building and optimizing Extract, Transform, Load and Extract, Load, Transform data pipelines for scalable analytics and artificial intelligence use casesProven knowledge of data modeling, data governance, data quality management, and enterprise data architecture principlesExperience integrating cloud and software-as-a-service platforms such as Salesforce, Microsoft Power BI, Snowflake, and Microsoft FabricWorking knowledge of Git, continuous integration and continuous delivery pipelines, DevOps practices, and automation frameworksDemonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiencyProven ability to implement AI-powered solutions to solve business challengesDemonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI useExcellent communication, collaboration, and stakeholder management skills with the ability to translate business requirements into technical solutionsBachelors degree or equivalent qualification in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related fieldDatabricks Data Engineer Associate certification or higher preferredDatabricks Generative AI Engineer Associate certification preferred Responsibilities: Design, build, and support scalable data, analytics, and artificial intelligence solutions on the Databricks Lakehouse PlatformDesign and implement scalable data and analytics solutions leveraging Databricks technologiesBuild, maintain, and optimize data pipelines using Apache Spark, SQL, Python, and Delta LakeDevelop governed datasets and data products that support reporting, analytics, and artificial intelligence initiativesPartner with business stakeholders and technical teams to translate requirements into cost-effective and scalable solutionsImplement best practices for performance optimization, security, data quality, compliance, and governanceSupport integration of enterprise platforms including Salesforce, Microsoft Power BI, Snowflake, Microsoft Fabric, and other business applicationsContribute to platform standards through automation, continuous integration and continuous delivery practices, and DevOps initiativesMonitor, troubleshoot, and enhance solution performance to ensure reliability, scalability, and operational excellence Technologies: AICloudDatabricksDevOpsFabricGitSupportPower BIPythonSQLSalesforceSecuritySnowflakeSpark More:
hackajob is partnering directly with Moodys Corporation to hire for this role. Our Data and Analytics team is responsible for delivering trusted, scalable, and innovative data solutions that enable informed decision-making across Moodys. We partner closely with business and technology stakeholders to build modern data products, advance analytics capabilities, and drive the adoption of artificial intelligence technologies. By joining our team, you will contribute to high-impact initiatives focused on data modernization, operational efficiency, and responsible AI innovation across the organization.
last updated 39 week of 2026