{
  "job_id": "fKbbjYwqociQSl1xAAAAAA==",
  "job_city": "Reading",
  "job_state": null,
  "job_title": "Data Engineer (AI)",
  "job_country": "GB",
  "job_benefits": null,
  "job_latitude": 51.455120099999995,
  "job_location": "Reading",
  "job_onet_soc": "15111100",
  "apply_options": [
    {
      "is_direct": false,
      "publisher": "LinkedIn",
      "apply_link": "https://uk.linkedin.com/jobs/view/data-engineer-ai-at-vecta-4383030369?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": false,
      "publisher": "Talents By StudySmarter",
      "apply_link": "https://talents.studysmarter.co.uk/companies/hp/l1-data-engineer-13510445/?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic"
    },
    {
      "is_direct": null,
      "publisher": "LinkedIn",
      "apply_link": "https://uk.linkedin.com/jobs/view/data-engineer-ai-at-vecta-4383030369"
    }
  ],
  "employer_logo": "https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcQ320JftiWXB3IUH8rYu3zmUQPInsbJ9HmGtskC&s=0",
  "employer_name": "Vecta",
  "job_is_remote": false,
  "job_longitude": -0.9787475,
  "job_posted_at": "9 days ago",
  "job_publisher": "LinkedIn",
  "job_apply_link": "https://uk.linkedin.com/jobs/view/data-engineer-ai-at-vecta-4383030369?utm_campaign=google_jobs_apply&utm_source=google_jobs_apply&utm_medium=organic",
  "job_highlights": {},
  "job_max_salary": null,
  "job_min_salary": null,
  "job_description": "About the job\n\nThis role is being recruited for by Vecta, on behalf of one of our partner companies.\n\nYour next step is to speak to Vecta\n\nUtilities Mid-Level Data Engineer (AI)\n\nSalary: £35k – £53k per year\n\nLocation: Reading, London (Hybrid)\n\nCompany Description: Utilities company building data platforms to support large-scale renewable energy infrastructure\n\nJob Description:\n\nJoin a utilities company investing heavily in sustainable energy infrastructure and large-scale data platforms. You’ll contribute to building a modern data foundation that transforms operational signals from energy systems into insights used for strategic decision-making. This is a mid-level data engineering role focused on building scalable pipelines and supporting analytics and AI workflows across a major energy platform.\n\nThe Opportunity:\n\nYou’ll work within a collaborative Data & AI team responsible for building a governed Lakehouse architecture that powers analytics and reporting across large renewable energy initiatives. The role offers hands-on experience delivering data pipelines and models that support offshore wind projects and grid transformation programmes. This is an opportunity to build production data systems that directly support the transition to cleaner energy.\n\nWhat you will do:\n• Design, build, and operate ELT/ETL and streaming pipelines that feed reliable data products into the bronze, silver, and gold Lakehouse/Warehouse layers.\n• Utilise Microsoft Fabric and Azure Synapse to build and optimise pipelines, effectively carrying out large-scale transformations using Fabric Notebooks with PySpark and SQL.\n• Create data models optimised for BI/analytics and Direct Lake consumption, ensuring performance for Power BI and reporting tools.\n• Implement governance, lineage, and security measures such as Purview, RBAC, and data masking; contribute to SLAs, SLOs, and data contracts to maintain data integrity for downstream users.\n• Collaborate with data architects, analysts, DevOps, and product owners to refine requirements, productionise pipelines, and iterate on data products.\n• Adopt best practices for data quality, performance tuning, and cost-efficient processing while troubleshooting and maintaining production data flows.\n\nWho will thrive here?:\n• You've got strong experience with Python and SQL, with a solid grasp of Azure technologies.\n• You’re comfortable working with Lakehouse architectures and familiar with data governance practices.\n• Your expertise includes designing efficient ELT/ETL pipelines and optimising for performance using tools like Microsoft Fabric and Azure Synapse.\n• You thrive in a collaborative setting, contributing to team success and engaging with various stakeholders to implement data solutions.\n• You're proactive, detail-oriented, and excited about driving the future of energy solutions through data.\n• You're motivated by the challenge of building high-quality, impactful data products that directly contribute to sustainability efforts.\n\nTech Stack\n\nOur client is a large utility firm investing billions into net-zero energy solutions. They focus on innovative technology and collaborative engineering to drive transformation in the renewable sector.\n\nPython . SQL . Azure\n\nWho are Vecta\n\nHave you built AI products before?\n\nVecta helps engineers who’ve already built AI products find roles where AI is central to the work.\n\nTalk to Vecta about your preferences, what you’ve built, and the kind of role you want next. Vecta then helps you find your dream role by matching your skills to relevant AI roles at start-ups, scale-ups, and enterprises as they come up.\n\nNext steps\n\nStep 1. Apply for this job here\n\nStep 2. Talk to Vecta so we can understand your experience and preferences\n\nStep 3. Vecta will make sure you’re considered for this role\n\nStep 4. If Vecta thinks you're a great fit, you’ll be introduced to the client\n\nStep 5. If not, we’ll find you excellent alternatives. All for free\n\nWe never post fake jobs\n\nThis is a real, live role that Vecta is currently recruiting for on behalf of a partner company. In some cases, companies ask us to anonymise roles when advertising them publicly. This means we can’t always share full company details upfront, but the role itself is genuine and actively hiring.\n\nGive Vecta a spin - you could land this role. And if not, most engineers find Vecta helpful with their AI job search, and we're giving this service away for free.",
  "job_google_link": "https://www.google.com/search?q=jobs&gl=gb&hl=en&udm=8#vhid=vt%3D20/docid%3DfKbbjYwqociQSl1xAAAAAA%3D%3D&vssid=jobs-detail-viewer",
  "employer_website": "https://www.vectaenvironmental.com",
  "job_onet_job_zone": "5",
  "job_salary_period": "YEAR",
  "job_apply_is_direct": false,
  "job_employment_type": "Full–time",
  "job_employment_types": [
    "FULLTIME"
  ],
  "job_posted_at_timestamp": 1773273600,
  "job_posted_at_datetime_utc": "2026-03-12T00:00:00.000Z"
}