Data Engineer

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Keystone AI is a tech‑forward strategy and economics consulting firm that partners with leading technology companies, global brands, and top law firms to solve complex challenges in competition, strategy, and regulation. The Data Engineering team operates within our Economic, Technology, and Strategy Advisory (ETSA) group, leveraging data, technology, and economics to deliver rigorous analytical and forensic solutions.

As a Data Engineer, you will design, build, and optimise 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.

• Partner with consultants and investigators 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 clients in regulated sectors.
• 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 (e.g., vector databases, 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.

• 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 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 institutions such as Harvard, Stanford, MIT, and Wharton.
• Apply a unique blend of management science and computer science to real‑world challenges across technology, litigation, policy, and strategy.
• Thrive in a culture defined by collaboration, curiosity, and excellence—where your ideas have direct, tangible impact.

Salary Range:
Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation will depend on the level at which the individual is hired based on skills, experience, and qualifications.

At Keystone we believe diversity matters. At every level of our firm, we seek to advance and promote diversity, foster an inclusive culture, and ensure our colleagues have a deep sense of respect and belonging. If you are interested in growing your career with colleagues from varied backgrounds and cultures, consider Keystone AI.

Associate

Full‑time

Information Technology

Business Consulting and Services