Salesforce Data Engineer

🕒 August 25

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

First Advantage

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

HR Tech • SaaS • B2B

First Advantage is a leading provider of global software and data for the HR technology market. Enabled by proprietary technology and AI, it delivers employment background screening, digital identity and verification services, APIs, and risk-monitoring products across the employee lifecycle. The company emphasizes automation and continuous identity verification, serving roughly 80,000 organizations in over 200 countries and territories, and maintains large proprietary databases (over one billion records). Headquartered in Atlanta and publicly traded (NASDAQ: FA), First Advantage focuses on helping customers hire smarter and onboard faster through software, data and services.

📋 Description

• Contribute to data profiling initiatives across core RevOps and go-to-market systems to evaluate data quality, consistency, and completeness • Construct, deploy, and maintain scalable data workflows spanning Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud data sources • Engineer, support, and enhance data pipelines and automated transformation processes using SQL and big data technologies • Develop and implement database scripts, triggers, functions, and stored procedures • Develop automated testing and validation procedures for data quality management and compliance with data governance policies • Participate with cross-functional teams to understand data needs and impacts on analytics and reporting • Collaborate with technical teams, operations, product managers, and business stakeholders to implement data initiatives • Identify and communicate opportunities for automating data quality improvement processes • Promote engineering excellence

🎯 Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Applied Mathematics, or a related technical field required • 5+ years of progressive experience in data engineering, data integration, or backend data platform development • Experience supporting enterprise-scale data ecosystems • Experience designing, building, and maintaining complex data pipelines across CRM, ERP, and cloud data platforms • Experience implementing data quality and validation frameworks • Experience partnering with cross-functional technical and business teams • Extensive, hands-on experience with Salesforce, Siebel CRM, and Oracle ERP • Familiarity with Demandbase, SalesLoft, and HubSpot • Proficiency in SQL, Python, Hadoop, and Spark • Experience with BI/analytics tools, especially Power BI • Experience with AI-powered database optimization tools • Experience preparing datasets for machine learning and AI applications • Proficiency with Salesforce Data Loader, Workbench, and Inspector • Track record of implementing data engineering best practices • Excellent communication and ability to present findings to technical and non-technical audiences • Ability to thrive in a fast-paced, dynamic environment • Working hours aligned with UK business hours