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

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 data engineering

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