Data Engineer

🔥 13 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 12%

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.

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CoreView

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2014

☁️ SaaS

🔐 Security

🏢 Enterprise

SaaS • Security • Enterprise

CoreView is the leading SaaS platform for Microsoft 365 Tenant Resilience. It secures configuration, identity, and access layers of Microsoft 365 across Exchange Online, Teams, SharePoint, OneDrive, Intune, and Entra ID. CoreView hardens tenants against attacks, reduces privileges and blast radius, detects configuration tampering, and restores tenant configuration to a known good state. It provides centralized multi-tenant management, tenant consolidation and segmentation, governance and lifecycle automation, license optimization, backup/restore, and no-code automation for operational efficiency. CoreView emphasizes policy enforcement, configuration management, delegation management, and specific control for SharePoint, and targets enterprises, government, and large organizations to manage complex Microsoft 365 environments.

📋 Description

• Take operational ownership of usage and adoption pipelines and alerting • Reconcile figures derived from the product-usage tool • Separate development and production environments and mature CI/CD for repeatable deployment and reliable rollback • Build and maintain Bronze-to-Gold pipelines in Databricks, Unity Catalog metric views, and permissions/row-level-security models • Extend automated data quality checks across gold-layer tables and validate outputs against existing Power BI reports • Co-own scoping of usage and adoption signals with Product and Post-Sales, prioritizing upsell signals and ROI narratives • Handle schema drift, inconsistent field naming, soft deletes, and incremental loads • Lead consolidation of additional data sources, including support tickets, audit logs, CRM, and other customer-facing systems • Define feasibility, effort, cost, and implementation approach for a future unified data platform • Establish documented pipelines, raw and transformed data access models, and an intake process for cross-department data requests • Act as a point of contact for CoreView's Databricks estate • Introduce automation and AI-assisted tooling, including monitoring and anomaly detection on metric movements

🎯 Requirements

• 3 to 5 years' professional experience building and operating production data pipelines (ETL/ELT) in a commercial setting • Hands-on Databricks proficiency: Unity Catalog, Spark Declarative Pipelines and metric views, including the permissions / row-level-security model behind them • Strong SQL and Python applied to data engineering work — building, testing and supporting pipeline code through to production • Experience with data transformation/orchestration tooling such as Spark Declarative Pipelines, dbt, or an equivalent • Solid grounding in data modelling (dimensional/star-schema approaches) for analytics consumption • Git-based version control and CI/CD practices applied to data pipelines • Experience ingesting data from CRM, product usage and telemetry, and other business systems • Power BI or equivalent BI tool (preferred) • Prior experience implementing data governance, a metric catalogue, or an access model (preferred) • Background in B2B SaaS (preferred) • Experience using AI coding assistants such as GitHub Copilot, Cursor, or Claude (preferred) • Clear written and verbal communication • Ability to work with limited hand-holding and implement, document, and operate to an agreed direction