Senior Data Engineer

Job Description Roles & Responsibilities 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 Desired Candidate Profile What You'll Bring / / Bachelor s degree in Computer Science, Data Engineering, or a related field (Master s preferred) 8+ years experience in data engineering, data science, or ETL/ELT workflows involving large and complex datasets / At least 2 years experience working in the GCC 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 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 Company Industry ConsultingManagement ConsultingAdvisory Services Department / Functional Area IT Software Keywords Senior Data Engineer Get real-time job updates only on our App