Data Engineer

About Keystone AI

For more than two decades, Keystone AI 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's 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. As we rapidly expand globally, we are redefining what a consulting firm can be.

Economic, Technology, and Strategy Advisory (ETSA)

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.

What we do

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

How we operate

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.

Who we serve

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

Our 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

Data Engineer- Dubai

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.

The role

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

Qualifications

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 (for example 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, TensorFlow, 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 BigQuery

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

Why Keystone AI

Join a fast-growing, tech-enabled consulting firm that partners with the world's leading companies on their most critical challenges and biggest opportunities.

• 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 within the range will depend upon the level the individual is hired into based on their 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.