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Senior Data Engineer - Azure Databricks Platform

EnerMech
Remote, GBR
Full-time
Senior
Remote
Discovered 1 weeks ago

Full Job Posting

Role & Responsibilities

  • The role will be responsible for taking technical ownership of key workstreams on EnerMech's Azure Databricks data platform, operating across the full platform stack: data modelling and pipeline development in Databricks, the underlying Azure infrastructure, and the CI/CD, DevOps and DataOps practices that keep the platform reliable, secure and scalable.
  • The role holder operates with a high degree of autonomy, makes and documents architectural decisions, resolves complex platform issues, and is a technical point of contact for the global EBS Team, and business stakeholders.
  • This is a fully remote role in the UK,supporting our Enterprise Business Systems (EBS) function in the Mumbai Shared Service Centre.
  • Key reponsibilities will include:
  • Design, build, quality and reliable operation of assigned workstreams on the Azure Databricks data platform, from scoping through to production deployment.
  • Integrity of the medallion data model (bronze/silver/gold) for assigned data domains, ensuring data is modelled, validated, documented and certified for downstream reporting and analytics.
  • Build and optimise Delta tables and materialized views, with attention to performance at scale.
  • Design and implement data quality frameworks (preferably DQX or equivalent), including quarantine/error handling and validation against data contracts.
  • Define job-specific compute configurations appropriate to each workload, balancing performance and cost.
  • Contribute to and troubleshoot Terraform-managed infrastructure (networking, storage, Key Vaults, Managed DevOps Pools, Dev Centers).
  • Own and maintain Azure DevOps build and release pipelines, variable groups/libraries, and repository security, permissions and branch policies.
  • Support environment-level Azure configuration, including subscription-level access, RBAC for user and pipeline (service principal) identities, and Terraform state backend management across multiple storage accounts and environments.
  • Operate autonomously across a workstream, from scoping through to production deployment.
  • Use AI-assisted tooling to support day-to-day development, validating outputs against authoritative sources (architecture decisions, technical leads, documentation) before acting on them.
  • Communicate clearly with technical and non-technical stakeholders, including across time zones with colleagues in the UK, Americas, Middle East and Asia Pacific.
  • The Requirements
  • Essential
  • Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience.
  • Typically 6+ years in data engineering, including 3+ years hands-on with Azure Databricks in production.
  • Demonstrated ownership of medallion architecture design and data modelling.
  • Implemented data quality frameworks and data contracts in production.
  • Implemented PII protection (masking, tokenisation or access tiering) across environments.
  • Platform engineering experience: diagnosing infrastructure issues, not just consuming platform services.
  • Track record of autonomous delivery, including direct stakeholder engagement.
  • Databricks Certified Data Engineer Associate (minimum).
  • Desirable
  • Databricks Certified Data Engineer Professional.
  • Microsoft AZ-400: Designing and Implementing Microsoft DevOps Solutions.
  • Multi-environment Azure networking (VNet peering, DNS zone design, NAT Gateway).
  • Migrating or standing up CI/CD pipelines, incl. introducing pipeline templates/standards.
  • Governance and identity patterns (e.g. Entra ID, RBAC scoping).
  • Applying regulatory frameworks (e.g. GDPR) to data platform design.
  • Shared service centre or global delivery model experience, ideally in energy or industrial services.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems or a related discipline, or equivalent practical experience.

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