Data Engineer - Working with text data and document parsing

Harnham; Randstad; On-site; EUR 70,000 - 100,000; Full time

Benefits offered by this job

Competitive contract rates

Flexible working arrangements

Opportunity for complex data challenges

Job summary

A leading law firm is seeking an experienced Data Engineer to work on a contract basis. The ideal candidate will design and maintain data solutions for large volumes of unstructured text data, supporting legal data initiatives. Responsibilities include building data pipelines, document parsing, and collaboration with legal teams. Candidates should have proven experience in data engineering, proficiency in Python and SQL, and exposure to document-heavy environments. This role offers competitive rates and flexible working arrangements.

Qualifications

• Proven experience as a Data Engineer in a document-heavy environment.
• Strong experience with unstructured and semi-structured data.
• Experience with document parsing, text processing or data extraction techniques.
• Proficiency in Python and SQL.
• Experience with NLP, OCR, or text analytics tools.
• Experience building scalable data pipelines.

Responsibilities

• Design and maintain data pipelines for unstructured text data.
• Build solutions for document ingestion, parsing, and transformation.
• Support document classification and metadata extraction.
• Integrate data from document management systems and internal sources.
• Ensure data quality, reliability, and performance across pipelines.
• Collaborate with legal teams, analysts, and engineers.
• Support ad hoc data investigations and problem-solving.

Skills

Data Engineering

Document Parsing

Text Processing

Python

SQL

NLP

OCR

Attention to Detail

Tools

Cloud-based data platforms

Text Analytics Tools

Job description

Overview

A leading law firm is seeking an experienced Data Engineer to join the firm on a contract basis, supporting initiatives focused on large-scale text data, document parsing, and unstructured data processing. This role will work closely with legal, data, and technology teams to build and maintain data pipelines that enable efficient analysis of complex legal documents.

The Role

The Data Engineer will be responsible for designing, developing, and maintaining data solutions that handle high volumes of unstructured and semi-structured text data. The role requires strong technical expertise combined with an understanding of document-heavy environments, ideally within legal or professional services contexts.

Key Responsibilities

• Designing and maintaining data pipelines for processing large volumes of unstructured text data


• Building solutions for document ingestion, parsing, and transformation (e.g. contracts, pleadings, correspondence)


• Supporting document classification, metadata extraction, and text enrichment workflows


• Integrating data from document management systems and other internal sources


• Ensuring data quality, reliability, and performance across pipelines


• Collaborating with legal teams, analysts, and engineers to deliver data-driven solutions


• Supporting ad hoc data investigations and technical problem-solving

Required Skills & Experience

• Proven experience as a Data Engineer, ideally in a document-heavy or text-focused environment


• Strong experience working with unstructured and semi-structured data


• Experience with document parsing, text processing, or data extraction techniques


• Proficiency in relevant programming languages (e.g. Python, SQL)


• Experience building and maintaining scalable data pipelines


• Strong attention to detail and ability to work independently on a contract basis


• Exposure to legal data, law firms, or professional services environments


• Experience with NLP, OCR, or text analytics tools


• Familiarity with cloud-based data platforms and storage solutions


• Contract role within a reputable law firm


• Competitive contract rates


• Flexible working arrangements subject to project requirements

This role offers the opportunity to work on complex and meaningful data engineering challenges within a legal environment, contributing to the firm’s evolving data capabilities.