Data Engineer (AI)

Location: UK office, hybrid

Company

hirify.global is a fast-growing technology startup providing cybersecurity and AI solutions that help managed service providers manage and secure Microsoft 365 at scale.

What you will do

• Design and maintain scalable data lakes and modern data platform architecture.
• Develop storage solutions for structured and unstructured data and optimize data models and storage performance.
• Build ingestion frameworks, ETL/ELT pipelines, and integrations across SaaS platforms, databases, APIs, and third-party applications.
• Implement batch and real-time ingestion, data synchronization, and change data capture processes.
• Transform raw data into trusted datasets and implement validation, monitoring, alerting, and quality controls.
• Support analytics, reporting, automation, and AI initiatives while contributing to architecture decisions, roadmaps, and engineering best practices.

Requirements

• Proven experience as a Data Engineer or in a similar role.
• Strong SQL and Python skills, with experience working with large datasets.
• Commercial experience building ETL/ELT pipelines, data integrations, and ingestion frameworks.
• Experience with cloud data environments, Microsoft Azure, and Azure Data Lake Storage.
• Experience with Azure Data Factory, Databricks, Apache Spark, dbt, or Airflow, and platforms such as Azure Synapse Analytics or Snowflake.
• Knowledge of Git, REST APIs, event-driven architectures, Kafka or other streaming technologies, CDC, data governance, and master data management.

Culture & Benefits

• Continuous learning and strong enablement in an environment where experimentation and mistakes are supported.
• High-trust, autonomous working environment with opportunities to make a significant impact.
• Transparent and collaborative communication across technical and non-technical stakeholders.
• Global team environment with regular monthly team socials.
• Employee recognition programs for outstanding contributions.