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Associate Data Engineer

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ANS Group

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Location:
United Kingdom , Manchester

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Category:
IT - Software Development

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Contract Type:
Employment contract

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Salary:

Not provided
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Job Description:

You’ll design and build scalable, AI‑ready solutions across data, cloud, and business workflows — creating reusable data pipelines, turning business needs into practical AI solutions, and deploying secure, enterprise‑grade cloud environments. This role is perfect for a graduate with a background in data, computing, engineering, or related fields who’s curious about AI and excited to work where data, cloud, and real‑world business problems come together.

Job Responsibility:

  • Platform Engineering: Deploy secure, repeatable AI cloud environments using Infrastructure as Code
  • Support CI/CD pipelines for AI infrastructure and data deployments
  • Help manage core platform services including security, networking, and monitoring
  • Collaborate with AI & Data Engineers and document reusable platform patterns
  • Data Engineering: Build and maintain data pipelines for AI and automation use cases
  • Prepare structured datasets, vector stores, and model‑ready data
  • Implement monitoring and validation to ensure data quality and reliability
  • Create reusable data components aligned to platform and business needs
  • Business Technology: Translate business problems into clear AI and automation requirements
  • Support discovery sessions, workshops, and solution design
  • Configure, test, and validate AI solutions during delivery
  • Support launch, adoption, and continuous improvement through Agile delivery

Requirements:

  • A curious problem‑solver with strong analytical thinking and an interest in AI, cloud, and data‑driven decision‑making
  • Comfortable learning in ambiguous environments, experimenting with new tools, and building solutions through hands‑on experience
  • A collaborative communicator with some exposure to cloud, scripting, or automation through study, projects, or self‑learning
  • A degree in a relevant field is preferable (e.g. Computer Science, Data, Engineering, Cloud, Business Technology, or similar)
  • A solid foundation in digital systems, with some exposure to cloud platforms, coding, or data tools through study, projects, or self‑learning
  • An interest in AI, modern delivery practices (Agile/DevOps), and how scalable technology solutions are built in the real world
What we offer:
  • Hybrid/ Remote Working
  • Private Medical Care
  • Pension Scheme
  • 25 days’ holiday, plus buy up to 5 more days
  • Birthday off
  • Celebration day
  • 5 days’ additional holiday in the year you get married
  • 5 volunteer days
  • Private health insurance
  • Pension contribution match and 4 x life assurance
  • Flexible working and work from anywhere for up to 30 days per year
  • Maternity: 16 weeks’ full pay
  • Paternity: 3 weeks’ full pay
  • Adoption: 16 weeks’ full pay
  • Company social events
  • Electric car scheme
  • 12 days of personal growth development time
  • Volunteer Days
  • Electric Vehicle Scheme
  • Personal Development Days
  • Ride to Work Scheme

Additional Information:

Job Posted:
May 04, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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