Delivery Hero11.04.26
AI SCORE 8.5

Legal Data Engineer - Remote Opportunity

$90K–$120K/year
RemoteLegalTechRelocation

About the Role

Join Delivery Hero as a Legal Data Engineer and help us optimize and automate our legal processes globally. This remote Legal Data Engineer position offers you the chance to work with cutting-edge technologies and make a significant impact within our organization.

What You'll Do

  • Design, build, and maintain integrations connecting our primary legal platform, Onit, with tools like Ariba/SAP, Jira, Google Cloud, Slack, and DocuSign.
  • Create scalable data pipelines, databases, and data models to support reporting, contract lifecycle management, and operational analytics.
  • Implement AI-based solutions using Google Enterprise and Vertex AI, acting as an internal consultant to drive innovation.
  • Automate end-to-end legal workflows using tools such as Google Apps Script, Google Cloud, and n8n.
  • Collaborate with stakeholders to identify opportunities for automation and process optimization, translating operational challenges into technical solutions.

Requirements

  • 5+ years of experience in software engineering, scripting, automation, or integrations.
  • Strong hands-on experience with Python and SQL; familiarity with JavaScript is a plus.
  • Experience designing and building data warehouses and integrations within Google Cloud.
  • Exposure to AI/ML concepts or tools, particularly Vertex AI SDK and BigQuery.
  • Strong ownership and consultancy mindset, with the ability to prioritize based on business needs.

Nice to Have

  • Consultancy and/or Legal Tech experience.

What We Offer

  • 27 days of holiday with an extra day after 2 and 3 years of service.
  • €1,000 educational budget, language courses, and access to Udemy Business platform.
  • Health checkups, meditation, gym, and bicycle subsidy.
  • Employee Share Purchase Plan, sabbatical bank, and public transportation ticket discount.
  • Digital meal vouchers and corporate discounts.

Ready to join our team? If you’re excited to grow, collaborate, and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today!

Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

This remote Legal Data Engineer position at Delivery Hero offers a unique opportunity to work with innovative technologies and optimize legal processes globally.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python and SQL, with experience in developing automated data pipelines and integrations, particularly within cloud environments like Google Cloud.

Adaptable and self-motivated, thriving in a remote work environment by effectively managing time and prioritizing tasks to meet project deadlines.

Analytical mindset with a strong focus on optimizing legal processes through AI and automation, demonstrating a proactive approach to problem-solving and innovation.

Learning Resources

Python for Everybody Specializationcourse

Career Path

Legal Data Engineer(Now)Data Engineer(1-2 years)Senior Data Engineer / AI Engineer(3-5 years)

Market Overview

Python Market Size 2024
$50B
Annual Growth
11.5%
AI Adoption in Data Engineering
65%
Investment in Cloud Technologies
+25%
Labour Demand for Data Engineers
+30%
Avg Salary for Legal Data Engineers
$120K

Skills & Requirements

Required
PythonSQLGoogle Cloud
Growing in Demand
Machine LearningData Visualization (e.g., Tableau, Power BI)Apache Airflow
Declining
Excel for Data ProcessingTraditional ETL tools (e.g., Informatica)

Domain Trends

Increased Automation in Legal Data Processing
Over 70% of legal firms are adopting automation tools to streamline data processes, leading to a rise in demand for data engineers who can integrate AI.
Cloud Migration of Legal Data
Approximately 60% of legal firms are moving their data storage to cloud platforms, creating a significant demand for engineers skilled in Google Cloud and data integration.
AI-Driven Legal Analytics
The use of AI for predictive analytics in legal cases is growing at 40% annually, highlighting the need for data engineers who can leverage AI technologies.

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