Data Engineer

Our client, a prestigious global law firm, is seeking a highly skilled Data Engineer to join their dynamic team. This firm is renowned for its commitment to delivering exceptional legal services across various sectors. With a strong emphasis on innovation and technology, they provide a stimulating and collaborative environment for professionals to thrive.

Role Overview:

As a Data Engineer, you will play a crucial role in designing, developing, and maintaining the firm’s data architecture. You will work closely with various departments to ensure seamless data integration and support data-driven decision-making processes. The ideal candidate will have substantial experience in a professional services environment, preferably within the legal, accounting, or audit sectors.

Key Responsibilities:

• Develop and maintain scalable data pipelines and systems.
• Design and implement robust data architectures and models.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Ensure data quality and integrity across various platforms.
• Optimise data workflows and improve data access and usability.
• Manage and maintain data storage solutions, ensuring compliance with security and privacy regulations.
• Troubleshoot data-related issues and implement effective resolutions.

Essential Qualifications and Experience:

• Proven experience as a Data Engineer in a professional services environment (legal, accounting, audit, or similar).
• Strong proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL).
• Expertise in ETL processes and tools (e.g., Apache Airflow, Talend).
• Familiarity with big data technologies (e.g., Hadoop, Spark).
• Experience with cloud platforms (e.g., AWS, Azure, Google Cloud).
• Proficiency in programming languages such as Python or Java.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.

Desirable Skills:

• Experience with data visualisation tools (e.g., Tableau, Power BI).
• Knowledge of data governance and regulatory compliance in a professional services context.
• Familiarity with machine learning and AI concepts.

What They Offer:

• A competitive salary and comprehensive benefits package.
• Opportunities for professional growth and development.
• A collaborative and inclusive work environment.
• The chance to work with cutting-edge technologies and contribute to innovative projects.

If you are a highly motivated Data Engineer with experience in a professional services environment, we would love to hear from you.