Active SC - Data Engineer - Remote

Stealth It
2 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Remote

Tech stack

API
Agile Methodologies
Confluence
JIRA
Automation of Tests
Azure
Batch Processing
Code Review
Continuous Integration
Data as a Services
Information Engineering
DevOps
Hive
Python
Performance Tuning
Power BI
SQL Databases
Gitlab
GIT
Microsoft Fabric
Data Lake
PySpark
Terraform
Software Version Control
Data Pipelines

Job description

  • Engineer production-grade data pipelines on Microsoft Fabric (One Lake/Delta Lake, Data Factory, Synapse Notebook Data Engineering), using PySpark/Spark SQL/Python and SQL, with a focus on performance, resilience, testing, and observability.
  • Support reporting & MI use cases, including transformations and data models that feed downstream tools (eg, Power BI).
  • Own CI/CD and version control practices (eg, Git/GitLab), review code, and enforce engineering standards.
  • Coach and mentor engineers, provide technical guidance/code reviews, and contribute to architectural decisions across squads.
  • Work in Agile delivery, collaborating across product, data, and platform teams using Jira/Confluence; translate requirements into robust engineering tasks.
  • Embed security and compliance by design, aligning with BPSS/SC constraints and department data-handling policies.

Requirements

  • Hands-on expertise in Azure/Fabric: Microsoft Fabric (One Lake/Delta Lake, Data Factory, Synapse Notebook Data Engineering), using PySpark/Spark SQL/Python and SQL for large-scale batch processing.
  • Data engineering at scale in government or similarly complex domains, including performance tuning and data-quality management.
  • CI/CD & DevOps: pipelines and IaC (eg, Terraform), automated testing, and release governance.
  • Version control & collaboration: Git/GitLab, code review, branching strategies, and trunk/PR workflows.
  • APIs & integration: building/consuming data services to move and expose data safely and reliably.
  • Agile ways of working with Jira/Confluence; clear stakeholder communication and concise technical documentation.
  • Security clearance: BPSS (minimum) and SC-cleared or SC-clearable for UK government work.

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