Data Engineer

Keystone is a premier economics, technology, and strategy consulting firm built to help companies lead through transformation. As breakthrough innovations reshape industries,
redefine competition and change our society, complex and highly competitive ecosystems emerge. Keystone advises technology leaders, Fortune 100 companies, their legal counsel, and
governments on business, economic, litigation, and regulatory strategy in relation to these innovations and competitive eco-systems. We operate globally from offices in New York, Boston, San Francisco, Seattle, London, Dubai, and Washington, D.C.
About The Data Engineer Role (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.
Key Responsibilities

• 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
  

What You'll Bring

• 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

Looking to get Placed? Try our Placement Guarantee Plan

Get Hired
• 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
  

Salary Range: Competitive with an annual discretionary bonus, pension contribution, and competitive benefits package. Actual compensation 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.