Senior Data Engineer (AI)
We are looking for a motivated Senior Data Engineer (AI) who is willing to dive into the new project with a modern stack. If you’re driven by a curiosity to learn and a desire to produce meaningful results, please apply!
Why Join Exadel
We’re an AI-first global tech company with 25+ years of engineering leadership, 2,000+ team members, and 500+ active projects powering Fortune 500 clients, including HBO, Microsoft, Google, and Starbucks.
From AI platforms to digital transformation, we partner with enterprise leaders to build what’s next.
What powers it all? Our people are ambitious, collaborative, and constantly evolving.
About Our Customer
Our client is one of the Big Four accounting firms and the world’s largest professional services network. Headquartered in London, they operate in 150+ countries with 460,000+ professionals delivering excellence in audit, tax, consulting, and advisory.
Project Tech Stack
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Azure Cloud, Microservices Architecture, .NET 8, ASP.NET Core services, Python, Mongo, Azure SQL, Angular 18, Kendo, GitHub Enterprise with Copilot
What You’ll Do
- Responsible for the building, deployment, and maintenance of mission-critical analytics solutions that process terabytes of data quickly at big-data scales
- Contributes design, code, configurations, manage data ingestion, real-time streaming, batch processing, ETL across multiple data storages
- Responsible for performance tuning of complicated SQL queries and Data flows
What You Bring
- 6+ years of background in software development
- Experience coding in SQL/Python, with solid CS fundamentals including data structure and algorithm design
- Hands-on implementation experience working with a combination of the following technologies: Hadoop, Map Reduce, Kafka, Hive, Spark, SQL and NoSQL data warehouses
- Knowledge of Data Warehousing, design, implementation and optimization
- Practice in Data Quality testing, automation and results visualization
- Competency in Azure cloud data platform
- Skills in working with vector databases (Milvus, Postgres, etc.)
- Knowledge of embedding models and retrieval-augmented generation (RAG) architectures
- Understanding of LLM pipelines, including data preprocessing for GenAI models
- Expetise deploying data pipelines for AI/ML workloads, ensuring scalability and efficiency
- Familiarity with model monitoring, feature stores (Feast, Vertex AI Feature Store), and data versioning
- Experience with CI/CD for ML pipelines (Kubeflow, MLflow, Airflow, SageMaker Pipelines)
- Understanding of real-time streaming for ML model inference (Kafka, Spark Streaming)
- Knowledge of BI reports and dashboards design and implementation (PowerBI)
- Experience with supporting data scientists and complex statistical use cases highly desirable
English level
Intermediate+
Legal & Hiring Information
- Exadel is proud to be an Equal Opportunity Employer committed to inclusion across minority, gender identity, sexual orientation, disability, age, and more
- Reasonable accommodations are available to enable individuals with disabilities to perform essential functions
- Please note: this job description is not exhaustive. Duties and responsibilities may evolve based on business needs
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion