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  "job_title": "Graduate Data Platform Engineer",
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  "employer_name": "Today Digital",
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  "job_posted_at": "9 days ago",
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  "job_description": "The Role at a Glance\n\nSalary:\n£25,000 – £30,000\n\nWork Week:\nMonday–Thursday (4-day week)\n\nLocation:\nFully onsite – Manchester City Centre (Ancoats)\n\nContract:\nFull-time\n\nStart Date:\nImmediate\n\nPerks include:\n• Private healthcare\n• Wellness programme\n• Rewards & discounts\n• Long weekends — every week\n\nAbout Techtelligence\n\nTechtelligence is Today Digital’s next-generation market intelligence platform. It transforms:\n• First-party editorial data\n• Behavioral signals\n• Buyer intent data\n• Expert insight\n\n...into practical intelligence for technology buyers and vendors. It underpins:\n• UC Today\n• CX Today\n• Our emerging data & research products\n\nYour Mission\n\nYou’ll help build the data backbone of Techtelligence. This role sits at the intersection of:\n• Data Engineering\n• Analytics Engineering\n\nYou’ll turn raw datasets into structured, production-ready intelligence assets — working directly on:\n• BigQuery architecture\n• Curated data models\n• Transformation logic\n\nWhat You’ll Be Doing\n\nData Modelling\n• Build curated transformation tables\n• Standardise schemas\n• Create reusable SQL views\n• Implement snapshot logic for trend tracking\n\nPipeline Support\n• Improve ingestion processes\n• Help structure API imports\n• Support version-controlled SQL workflows\n\nPlatform Development\n• Help implement dbt or structured transformation frameworks\n• Build logic for topic scoring & intent modelling\n• Contribute to Signals Index development\n\nWhat We’re Looking For\n• Recent graduate (Computer Science / Data Engineering / Software Engineering)\n• Strong SQL fundamentals\n• Understanding of data warehousing concepts\n• Experience with Git\n• Comfortable learning GCP / BigQuery\n• Built something beyond coursework (portfolio matters)\n\nBonus Points\n• dbt exposure\n• Python basics\n• Experience working with APIs",
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  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
}