Data Engineer
Listed on 2026-01-27
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IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Data Security
Join to apply for the Data Engineer role at Keystone AI
. Keystone has over two decades of experience as a tech‑forward strategy and economics consulting firm, helping leading technology companies, global brands, and top law firms solve complex challenges in competition, strategy, and regulation.
Our founders envisioned a modern consulting practice that merges economics, strategy, and technology to drive true digital transformation and business model innovation. This interdisciplinary “Triad of Skills” underpins our work, influencing consumer behavior, regulatory policy, and societal impact on a global scale.
Economic, Technology, and Strategy Advisory (ETSA)Keystone’s ETSA practice provides expert guidance across high‑stakes business, legal, and technology challenges. Leveraging our connections with industry and academic experts, we solve complex legal and regulatory issues and win high‑stakes cases through our Centres of Excellence in Keystone Economics and Keystone Advanced Technology Services.
How We OperateOur internal consultants blend economic analysis, industry insight, and technical expertise to design data and technology solutions that produce winning reports and supporting artifacts.
We serve major law firms, Fortune Global 500 companies, leading technology firms, and government agencies.
Practice Areas- 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
- Partner with consultants to architect secure, high‑performance data infrastructure across cloud environments.
- Develop reproducible data ingestion pipelines and analytical workflows that transform raw data into strategic insights for regulated clients.
- Build custom software and APIs to automate data discovery, integrate large language models (LLMs), and support digital investigations.
- Leverage modern ETL/ELT pipelines, SQL, and big data technologies to enable efficient processing from diverse data sources.
- Implement tools and libraries that enhance scalability, auditability, and delivery efficiency for technical investigations.
- Support AI/ML‑driven analysis, including model fine‑tuning, evaluation, and deployment such as vector databases and retrieval‑augmented generation systems.
- Advise on data governance, cybersecurity, and compliance standards relevant to the MENA region.
- Collaborate closely with cross‑functional teams across data science, forensic analysis, and regulatory strategy to deliver innovative client outcomes.
- Comfort with high volumes of unstructured data from varied 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, 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 as Airflow, dbt, Prefect, or Luigi, and big data platforms such as Snowflake, Spark, or Big Query.
- Understanding of software development lifecycle principles, version control (Git), and CI/CD pipelines.
- Exposure to AI/ML/NLP concepts and implementation in production systems.
- Experience or interest in digital investigations, compliance analytics, or forensic data work is an advantage.
- Bachelor’s degree in Computer Science, Data Engineering, or a related field (Master’s preferred).
- Ability to work across cultures and time zones in a dynamic consulting environment.
- Passion for learning, innovation, and solving complex problems in a fast‑evolving region.
- Work on frontier matters shaping the future of AI, data, and digital regulation.
- Collaborate with leading academics and experts from Harvard, Stanford, MIT, and Wharton.
- Apply a unique blend of management science and computer…
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