Senior Data Platform & Quality Lead

Obsero; United Kingdom; Remote; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Equity

Job summary

Obsero is seeking a senior data engineer to own the data platform end-to-end, from ingestion to modelling and analytics. You’ll build reliable pipelines, define a single schema across vendors and guide data quality at scale.

You’ll work with the founders and a lead data scientist to implement LLM-driven extraction, sentiment scoring and rapid anomaly detection on a Parquet data lake hosted on AWS. The role combines hands-on engineering with leadership, offers meaningful equity and a salary

Qualifications

• Seven years+ experience owning a data platform end-to-end.
• Strong Python and SQL, comfortable with MongoDB and columnar analytics.
• Experience putting LLM pipelines into production and evaluating them.
• Hands-on ML experience to classify in the pipeline and measure accuracy.
• Experience leading or mentoring engineers.
• Passionate about data quality and challenging numbers when needed.

Responsibilities

• Own data quality checks, monitoring and alerts to catch bad data.
• Maintain coverage as platforms change and new ones launch.
• Provide early warning of data issues and advise on product impact.
• Oversee ingestion from AI platforms and third-party vendors.
• Model data into a single standard schema across vendors.
• Develop LLM-based extraction, classification and sentiment.
• Manage the data layer on AWS and Parquet lake.
• Evaluate and select data tools and partners.
• Lead the data side of engineering, mentoring one engineer.

Skills

7+ years data experience

Python

SQL

MongoDB

LLM pipelines production

ML in production

Leadership/mentoring

Data quality

Tools

Docker

AWS (infrastructure as code)

Job description

Obsero is seeking a senior data engineer to own the data platform end-to-end, from ingestion to modelling and analytics. You’ll build reliable pipelines, define a single schema across vendors and guide data quality at scale.

You’ll work with the founders and a lead data scientist to implement LLM-driven extraction, sentiment scoring and rapid anomaly detection on a Parquet data lake hosted on AWS. The role combines hands-on engineering with leadership, offers meaningful equity and a salary