Staff Data Engineer

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/ $220000 - $240000 annum

INFO

Salary

SALARY:

$220000 - $240000

Location

LOCATION

Job Type
JOB TYPE

Permanent

Staff Engineer Data Engineering

Location: Remote (US)

Salary: $220,000 to $240,000

This is a high-impact opportunity for a senior data engineering leader to shape the future of AI-driven products within a globally distributed, data-rich environment. You will play a critical role in bringing together multiple data platforms, influencing technical direction, and enabling next-generation capabilities powered by machine learning and generative AI.

The Company
They are a global technology organisation supporting digital media and content businesses with advanced analytics and data-driven solutions. Their platform is trusted by leading publishers and media brands worldwide to optimise audience engagement and monetisation strategies. With a strong focus on innovation, they are investing heavily in AI and machine learning to enhance their product offering. Their teams operate in a collaborative, fully remote environment with a strong emphasis on technical excellence and continuous improvement.


The Role
  • Own and evolve cross-platform data architecture across multiple product lines
  • Lead technical strategy to unify data systems and enable integrated product capabilities
  • Drive the development of AI-enabled data systems, including LLM-backed features
  • Design and scale data pipelines, ensuring reliability, observability, and performance
  • Partner closely with product, engineering, and machine learning teams
  • Mentor engineers and elevate technical standards across distributed teams
  • Evaluate and implement emerging technologies in AI and data engineering
  • Contribute to roadmap planning and technical decision-making at a senior level
Your Skills and Experience
  • Strong commercial experience in data engineering or data architecture within complex environments
  • Expertise in Python and modern data engineering tooling
  • Experience with Kafka and cloud data warehouse technologies such as Snowflake or similar
  • Proven ability to design and scale large data platforms, including streaming and batch pipelines
  • Hands-on experience building AI or LLM-powered products in production environments
  • Strong communication skills, with the ability to influence both technical and non-technical stakeholders
  • A track record of mentoring engineers and raising team capability
  • Experience working across multiple systems or business units is highly valuable
  • Exposure to technologies such as Spark, Elasticsearch, BigQuery, or Kubernetes is beneficial
What They Offer
  • Learning and development support, including technical training and conferences
  • The opportunity to shape AI and data strategy in a globally recognised organisation
How to Apply
Apply now to discuss how this opportunity could align with your experience and career goals.

CONTACT

Lewis Jolly

Recruitment Consultant

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