Remote Data Engineer (Mid-Level)Embedded

{
  "source": {
    "name": "google_serp",
    "id": "uT7VI8e8dQPG14d8AAAAAA==",
    "url": "https://www.google.com/search?ibp=htl;jobs&q=Senior+Backend+Engineer+jobs+in+Bishopston&htidocid=uT7VI8e8dQPG14d8AAAAAA%3D%3D&hl=en-GB&shem=epsd1,esd2e,rimspwouoe&shndl=37&shmd=H4sIAAAAAAAA_xXLsQrCMBAAUFw7OzndqIKJCA7WTRQXXfQDSlKPJJLehd4hHf0CF__QL1GXt73qNao2F-xYEfZOHRwoJELsYXpOt8UJH5hn8Hm-4c4eBF3fRmCCI3PIONlG1SK1tSLZBFGnqTUtd5YJPQ_2l-RPI9H1WLJTbFbr5WAKhfn4ip3PCIlglyRyEWX6AhL5bZWRAAAA&shmds=v1_ARwrE20JziaulqmDvgc6NOr0MsV8wEjM0dkLCIKI0PIjpvtAaA&source=sh/x/job/li/m1/1#fpstate=tldetail&htivrt=jobs&htiq=Senior+Backend+Engineer+jobs+in+Bishopston&htidocid=uT7VI8e8dQPG14d8AAAAAA%3D%3D"
  },
  "postedDate": null,
  "applicationDeadline": null,
  "isActive": true,
  "isExpired": false,
  "matching": {
    "role": {
      "primaryTitle": "Data Engineer",
      "titleSynonyms": [
        "Data Engineer",
        "Backend Engineer",
        "Data Pipeline Engineer"
      ],
      "secondaryTitles": [
        "Data Analyst",
        "Data Scientist"
      ],
      "function": "ict_professionals",
      "functionConfidence": "high",
      "roleFamily": "u2512_software_developers",
      "roleFamilyConfidence": "medium",
      "roleSubFamily": "Data Engineering",
      "roleSubFamilyConfidence": "medium",
      "seniority": "mid",
      "industries": [
        "i6_technology_information_and_internet"
      ]
    },
    "primarySignals": {
      "tasks": [
        "Build and maintain ELT pipelines",
        "Monitor pipeline health and data freshness",
        "Write and maintain config-driven pipeline definitions",
        "Deploy workflows to Databricks across a multi-tenant environment",
        "Extend modelling layer",
        "Support CI/CD and ingestion projects",
        "Collaborate with data and product teams to deliver reliable, well-tested data",
        "Participate in code reviews",
        "Help evolve platform standards and documentation"
      ],
      "skills": [
        "Python",
        "SQL",
        "Apache Spark",
        "PySpark",
        "Git",
        "Databricks",
        "Streaming",
        "Change Data Capture (CDC)",
        "Lakehouse concepts"
      ],
      "tools": [
        "Databricks",
        "Git",
        "AWS",
        "Great Expectations"
      ],
      "educationLevel": null,
      "educationKeywords": [],
      "certifications": [],
      "languages": [],
      "yearsRelevant": 3
    },
    "secondarySignals": {
      "tasks": [],
      "skills": [
        "YAML",
        "Analytics data modelling in Spark"
      ],
      "tools": [],
      "educationLevel": null,
      "educationKeywords": [],
      "certifications": [],
      "languages": [],
      "yearsRelevant": null
    },
    "practical": {
      "locations": [
        "Bishopston",
        "France",
        "UK",
        "selected EU countries"
      ],
      "locationProvenance": "stated",
      "countries": [
        "GB",
        "FR",
        "unknown"
      ],
      "workModes": [
        "remote"
      ],
      "workModeProvenance": "stated",
      "employmentTypes": [
        "full_time"
      ],
      "compensation": null
    },
    "dataCompleteness": "medium"
  },
  "indexing": {
    "function": "ict_professionals",
    "functionConfidence": "high",
    "roleFamily": "u2512_software_developers",
    "roleFamilyConfidence": "medium",
    "countryCode": "GB",
    "countryCodeConfidence": "medium",
    "locationBucket": "ttwa_bristol",
    "locationBucketConfidence": "high",
    "workMode": "remote",
    "workModeConfidence": "high",
    "employmentType": "full_time",
    "employmentTypeConfidence": "high",
    "isAgency": "unknown",
    "salaryMax": null,
    "industryGroup": "i6_technology_information_and_internet",
    "industryGroupConfidence": "high",
    "educationRequired": null,
    "educationRequiredConfidence": "unknown"
  },
  "display": {
    "title": "Remote Data Engineer (Mid-Level)",
    "company": {
      "name": "Semble"
    },
    "locationDisplay": "Bishopston",
    "applicationUrl": "https://www.google.com/goto?url=CAES0AEB6zswFU4WxF7z2uGK2EldHg4Ilmq2U5Rte1g4_od4NIc7d2U83-nuxF31WmjSMIAmu-GEOimES6zJkT0IIBwS7mEls8uGvH0NiV6ogtYr3HhmnAeA4dCZf--_07VCLeuZKKwa3WXXlV4LdhoNFAVF2UxVq7_-axpIkP2F18VPKRCQVGs48U2d8G_EKAogjcK4KRVpXFpKMXjdJy1BBwY40yYlnCiNpmMUvG1hL77rgoBcATfF7PISqFYDlGA13MGpzd_R1WKAXB-6jCP_GNRJ"
  },
  "roleFamilyEsco": "u2521_database_designers_administrators",
  "requirementsEssentiality": {
    "items": [
      {
        "text": "3–5 years of data engineering experience",
        "category": "skill",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Strong Python & SQL skills",
        "category": "skill",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Experience with Apache Spark / PySpark",
        "category": "skill",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Ability to monitor, troubleshoot, and resolve pipeline failures",
        "category": "skill",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Familiarity with lakehouse concepts",
        "category": "skill",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Experience with Git, Databricks, streaming / CDC, AWS, Great Expectations",
        "category": "tool",
        "essentiality": "compulsory",
        "triggerPhrase": "What we’re looking for",
        "confidence": "high"
      },
      {
        "text": "Exposure to YAML",
        "category": "skill",
        "essentiality": "preferred",
        "triggerPhrase": "Nice to have",
        "confidence": "high"
      },
      {
        "text": "Experience building analytics data models in Spark",
        "category": "skill",
        "essentiality": "preferred",
        "triggerPhrase": "Nice to have",
        "confidence": "high"
      }
    ]
  }
}