In this role you will design and deliver high-performance big data solutions for clients, leveraging cloud-based architectures and modern tooling. You’ll work across multiple projects as a consultant, helping clients translate data needs into scalable pipelines and analytics capabilities. You’ll join a tech-driven team that values hands-on delivery, training, and career progression, shaping data strategies for real-world impact. You’ll operate in a fast-paced environment that emphasizes collaboration and client value, with a clear focus on enabling decision-making through data.
Pay / Benefits
extensive training
structured career progression
opportunities to work with leading brands
vibrant, technology-driven environment
Responsibilities
Design and develop end-to-end big data applications for batch and real-time processing in a multi-tenant cloud environment
Develop tools for data acquisition, ETL/ELT, and management of large and complex datasets
Contribute to all development lifecycle stages: design, build, deploy, monitor, and operation
Research and experiment with emerging technologies to bring business value through early adoption
Key requirements
Bachelor in Computer Science or related IT discipline
1-2 years' experience with big data projects using SQL and Python
Experience with AWS and/or Databricks
Strong communication skills and ability to articulate complex information to diverse audiences
Solid understanding of Python for data engineering (Pandas, NumPy, file handling, JSON)
Knowledge of AWS services (S3, Lambda, RDS, CDK or Terraform, DynamoDB)
Awareness of AI-enabled data engineering approaches (Agentic AI)
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