Senior Associate Analytics Engineer
About the Role
We are looking for a skilled Data & AI Engineer to join our dynamic team. In this role, you will play a critical part in designing and maintaining scalable data pipelines, supporting AI-driven applications, and working alongside cross-functional teams to build innovative solutions. If you're passionate about data engineering, AI integration, and working with the latest technologies, we’d love to hear from you.
What You’ll Do
Design, develop, and maintain robust data pipelines using Python and C#.
Collaborate with the analytics team to build scalable, automated data solutions tailored to business use cases.
Build and optimize data architectures for AI-driven applications.
Develop and deploy AI agents using internal AI platforms on messaging tools like Microsoft Teams.
Work closely with analysts, engineers, data scientists, and product teams to embed AI solutions into production systems.
Implement best practices for data storage, transformation, and access across platforms.
Ensure data integrity, security, and compliance with regulatory standards.
Manage and monitor data infrastructure using cloud platforms (AWS, Azure, GCP).
Troubleshoot and resolve issues with data pipelines and infrastructure.
What We’re Looking For
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of proven experience as a Data or Analytics Engineer.
Strong coding skills in Python and C#.
Proficient in SQL and NoSQL databases.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with cloud platforms and big data technologies (e.g., Databricks, Kafka, Spark).
Understanding of CI/CD pipelines and DevOps best practices.
Excellent problem-solving, analytical, and communication skills.
Senior Associate Analytics Engineer
About the Role
We are looking for a skilled Data & AI Engineer to join our dynamic team. In this role, you will play a critical part in designing and maintaining scalable data pipelines, supporting AI-driven applications, and working alongside cross-functional teams to build innovative solutions. If you're passionate about data engineering, AI integration, and working with the latest technologies, we’d love to hear from you.
What You’ll Do
Design, develop, and maintain robust data pipelines using Python and C#.
Collaborate with the analytics team to build scalable, automated data solutions tailored to business use cases.
Build and optimize data architectures for AI-driven applications.
Develop and deploy AI agents using internal AI platforms on messaging tools like Microsoft Teams.
Work closely with analysts, engineers, data scientists, and product teams to embed AI solutions into production systems.
Implement best practices for data storage, transformation, and access across platforms.
Ensure data integrity, security, and compliance with regulatory standards.
Manage and monitor data infrastructure using cloud platforms (AWS, Azure, GCP).
Troubleshoot and resolve issues with data pipelines and infrastructure.
What We’re Looking For
Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field.
3+ years of proven experience as a Data or Analytics Engineer.
Strong coding skills in Python and C#.
Proficient in SQL and NoSQL databases.
Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Familiarity with cloud platforms and big data technologies (e.g., Databricks, Kafka, Spark).
Understanding of CI/CD pipelines and DevOps best practices.
Excellent problem-solving, analytical, and communication skills.