Data Engineer

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For more than two decades, Keystone has been a premier, tech-forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve their most complex challenges in competition, strategy, and regulation. Our founders believed that modern consulting should integrate economics, strategy, and technology to drive true digital transformation and business model innovation. That is what we call our “Triad of Skills.”

Keystone brings this interdisciplinary approach to the forefront of influential technology cases, changing consumer behavior and regulation laws and impacting society on a global scale, by leveraging the intersection of economics, technology, and business strategy to deliver transformative ideas.

Keystone’s practices sit within our Economic, Technology, and Strategy Advisory (ETSA) group, which provides expert guidance across high‑stakes business, legal, and technology challenges.

ETSA leverages Keystone's connections with leading industry and academic experts to solve complex legal and regulatory issues and win high‑stakes legal cases. Through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services, we unite economists, technologists and management scientists to solve the hardest problems facing our clients.

Our tech‑native, internal consultants bring unique insights and experience to evaluate and solve client issues. Our economic, industry, and tech experts carry out in‑depth analysis, build robust data and technology solutions, and produce economic and technology reports that win cases.

Our ETSA group helps major law firms, Fortune Global 500 companies, leading technology companies, and government agencies.

• Antitrust & Competition
• Financial Economics, Tax, and Securities (FETS)
• Intellectual Property (IP)
• Information Strategy, Risk and Regulation (ISRR)
• Healthcare and Life Sciences
• Technical Investigations
• Behavioral Insights
• Strategy Consulting

As a Data Engineer, you will design, build, and optimize data systems that power high‑impact analytical and forensic engagements. You will bridge technical innovation and strategic insight, helping client teams unlock value through scalable, defensible, and data‑driven solutions.

• Partnering with consultants and investigators to architect secure, high‑performance data infrastructure across cloud environments
• Developing reproducible data ingestion pipelines and analytical workflows that transform raw data into strategic insights for clients in regulated sectors
• Building custom software and APIs to automate data discovery, integrate large language models (LLMs), and support digital investigations
• Leveraging modern ETL/ELT pipelines, SQL, and big data technologies to enable efficient processing from diverse data sources
• Implementing tools and libraries that enhance scalability, auditability, and delivery efficiency for technical investigations
• Supporting AI/ML‑driven analysis, including model fine‑tuning, evaluation, and deployment (for example vector databases, retrieval‑augmented generation systems)
• Advising on data governance, cybersecurity, and compliance standards relevant to the MENA region
• Collaborating closely with cross‑functional teams across data science, forensic analysis, and regulatory strategy to deliver innovative client outcomes

• Comfort working with high volumes of unstructured data from a variety of sources, including structured (CSV) and semi‑structured formats (e.g., JSON)
• Proven experience in data engineering, data science, or ETL/ELT workflows involving large and complex datasets
• Proficiency with one or more major cloud platforms (AWS, GCP, or Azure) and related data services (e.g., Lambda, Bedrock, Vertex AI)
• Advanced working knowledge of Python, R, and SQL for data manipulation and analysis
• Hands‑on experience with machine learning libraries and frameworks such as PyTorch, Tensor Flow, scikit‑learn, Hugging Face, and OpenAI API
• Familiarity with data orchestration tools such…