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inforcer
inforcer
51 – 200 Employees
ConsultingLogisticsMarketing
inforcer develops software for Managed Service Providers (MSPs) that manage Microsoft 365 security across multiple client tenants. Its platform helps automate policy deployment, standardize configurations, and support compliance efforts across Microsoft environments, enabling MSPs to deliver more consistent security services while reducing the operational effort and risk associated with multi-tenant management.
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Data Engineer

Build scalable data platforms, integrations and ETL pipelines for inforcer’s cybersecurity and AI products. Enable analytics, automation, reporting and AI initiatives.

GBUnited KingdomHybridFull-timeMiddleSeniorEnglish RequiredData Engineer
AirflowApacheAzureCloudETLKafkaPythonSparkSQL

Description

  • Design and evolve a scalable data lake and modern platform architecture.
  • Build storage solutions for structured and unstructured data.
  • Support data governance, security and compliance.
  • Improve data models and storage performance.
  • Develop ingestion frameworks for internal and external systems.
  • Integrate SaaS platforms, databases, APIs and third-party applications.
  • Implement batch and real-time ingestion.
  • Manage data synchronisation and change data capture.
  • Create and maintain ETL/ELT pipelines.
  • Turn raw data into trusted, business-ready datasets.
  • Monitor pipeline performance and address issues proactively.
  • Increase reliability, scalability and automation across the data platform.
  • Establish data validation and quality controls.
  • Set up monitoring and alerts for critical pipelines.
  • Investigate data issues and identify root causes.
  • Maintain platform availability and data integrity.
  • Collaborate with business stakeholders, analysts, engineers and leaders.
  • Deliver reliable data for reporting, analytics and AI work.
  • Help shape data architecture and platform roadmaps.
  • Document solutions and encourage sound engineering practices.

Requirements

  • Demonstrated experience as a data engineer or in a comparable position.
  • Strong SQL skills and experience handling large datasets.
  • Commercial experience building ETL/ELT pipelines.
  • Experience developing data integrations and ingestion frameworks.
  • Strong Python development skills.
  • Experience working in cloud data environments.
  • Knowledge of data modelling and database design principles.
  • Experience with Microsoft Azure and Azure Data Lake Storage (ADLS).
  • Experience with Azure Data Factory, Databricks, Apache Spark, dbt or Airflow.
  • Experience with Azure Synapse Analytics or Snowflake.
  • Experience using Git for version control.
  • Experience integrating REST APIs and working with event-driven architectures.
  • Knowledge of Kafka or other streaming technologies.
  • Understanding of change data capture (CDC) patterns.
  • Knowledge of data governance and master data management practices.
  • Ability to communicate clearly with technical and non-technical stakeholders.

Benefits

  • A steep, ongoing learning curve with strong enablement.
  • A high-trust, autonomous environment where your work has impact.
  • A culture of transparent, honest communication.
  • A global team of exceptional colleagues.
  • Monthly team social events.
  • Employee recognition programs that reward strong contributions.
  • An inclusive and diverse workplace.

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