Staff Data Engineer: Quality, Observability & Governance

Depop; Greater London; Hybrid; GBP 80,000 - 100,000; Full time

Benefits offered by this job

Healthcare access

Cycle to Work scheme

25 days annual leave

Life insurance

Pension matching up to 6%

Job summary

A forward-thinking fashion marketplace headquartered in London is seeking a Staff Data Engineer to lead the creation of frameworks and tools for data quality and governance. You'll focus on making sure data is reliable, observable, and compliant, while collaborating with various teams. Ideal candidates have substantial experience in driving data governance and observability, and proficiency in Python, Java, or Scala. Join us in reshaping the fashion industry with robust data initiatives.

Qualifications

• Proven experience as a Staff Data Engineer or in an equivalent technical leadership role in data quality.
• Deep knowledge of data observability frameworks and data validation tools.
• Experience designing and enforcing data contracts and quality SLAs.

Responsibilities

• Define and execute the vision for data quality and governance frameworks.
• Develop systems to detect and resolve data quality issues.
• Lead GDPR initiatives ensuring compliance across datasets.

Skills

Data observability frameworks

Data validation tools

Python

Java

Scala

Data governance principles

Communication skills

Education

Experience as a Staff Data Engineer

Understanding of GDPR and CCPA

Tools

Databricks

Spark

Kafka

DataHub

Collibra

Job description

A forward-thinking fashion marketplace headquartered in London is seeking a Staff Data Engineer to lead the creation of frameworks and tools for data quality and governance. You'll focus on making sure data is reliable, observable, and compliant, while collaborating with various teams. Ideal candidates have substantial experience in driving data governance and observability, and proficiency in Python, Java, or Scala. Join us in reshaping the fashion industry with robust data initiatives.