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Mid-level generalist data engineer with broad Salesforce/ETL skillset increases applicant density and competition.
Strong CRM and ERP integration requirements (Salesforce, Siebel, Oracle) make cross-industry fit moderately constrained.
Explicit 5+ years plus mandatory Salesforce/Siebel, Oracle, Hadoop/Spark, SQL and ETL skills raises screening strictness.
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Build, maintain, and enhance critical data pipelines integrating Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud systems to support marketing, sales, and customer support functions.
Deliver scalable data workflows and ensure data quality through profiling, automated testing, validation, and governance compliance.
Collaborate with cross-functional teams to align data initiatives with analytics, reporting needs, and continuous data quality improvement.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Applied Mathematics, or related technical field.
5+ years of progressive experience in data engineering or related backend data platform development involving complex data pipelines across CRM, ERP, and cloud platforms.
Proficiency in Salesforce, Siebel CRM, Oracle ERP; SQL; big data frameworks like Hadoop and Spark; and BI tools such as Power BI.
Working hours aligned with UK business hours.
Experienced in enterprise-scale data ecosystems, designing and implementing data quality and validation frameworks.
Skilled in multiple data engineering technologies including Salesforce data tools and AI-powered database optimization.
Capable of translating technical data solutions to diverse stakeholders and promoting engineering best practices in a fast-paced environment.