Senior Data Engineer (AI)

Location: London, United Kingdom

Company

hirify.global AI is a global AI-native consultancy delivering enterprise data, engineering, and AI solutions across multiple industries.

What you will do

• Design and implement modern cloud data platforms, data products, and scalable data pipelines.
• Build and optimize batch and real-time processing solutions for analytics, reporting, machine learning, and AI.
• Translate client business requirements into robust technical solutions and contribute to architecture and technology selection.
• Implement software engineering and DataOps practices, including testing, observability, CI/CD, version control, and infrastructure automation.
• Develop data models, transformations, and storage layers for performance, reliability, and scalability.
• Collaborate with clients, data scientists, AI engineers, platform engineers, architects, and business stakeholders while mentoring engineers.

Requirements

• Strong experience building modern data platforms and data products in enterprise environments.
• Experience with AWS, Azure, or Google Cloud Platform.
• Commercial experience designing, implementing, and optimizing Databricks and/or Snowflake platforms at scale.
• Strong SQL and software engineering experience with Python or other modern programming languages.
• Experience with data pipeline technologies such as dbt, Apache Spark, Airflow, Dagster, Kafka, or Flink.
• Understanding of lakehouse, warehouse, medallion architecture, distributed systems, data governance, security, performance optimization, and Infrastructure as Code.

Nice to have

• Experience with AI-ready data platforms, GenAI, machine learning, or advanced analytics workloads.
• Experience with real-time streaming, event-driven systems, data mesh, data products, or modern data governance.
• Exposure to Great Expectations, Monte Carlo, Soda, or similar data quality and observability platforms.
• Industry experience in financial services, energy and utilities, healthcare, manufacturing, or retail.
• Cloud or platform certifications across AWS, Azure, GCP, Databricks, or Snowflake.

Culture & Benefits

• Work on high-impact data and AI transformation programs for leading enterprises.
• Collaborative, low-ego environment focused on expertise, curiosity, and innovation.
• Competitive salary with a performance-based bonus structure.
• Choice of work equipment, including MacBook, PC, and accessories.
• Dedicated learning and development budget for certifications and continuous growth.