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AI Data Engineer
MultiBank Group. This role focuses on building the data foundations that enable advanced analytics and machine learning at scale.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSBigQueryCloudDistributed SystemsETLHadoopKafkaPythonSparkSQL
About the role
Key responsibilities & impact- This role focuses on building the data foundations that enable advanced analytics and machine learning at scale.
- You will design and develop data pipelines and architectures that support real-time insights and AI-driven applications across the business.
- Working with large, complex datasets, you will ensure data is reliable, accessible, and optimized for both analytics and machine learning use cases.
- Develop data models and warehouse schemas optimized for analytics and machine learning.
- Build and maintain data ingestion frameworks using streaming systems (Kafka, Kinesis) and batch processing (Spark, Airflow).
- Build and manage feature stores to support ML model training and inference.
- Integrate data from multiple sources into a unified architecture.
- Implement data quality validation frameworks and monitoring systems.
- Optimize data pipelines for performance, scalability, and cost efficiency.
Requirements
What you’ll need- Strong SQL and Python for large-scale data processing.
- Experience with big data frameworks: Apache Spark, Hadoop
- Experience with streaming technologies: Kafka, Kinesis
- Experience with ETL/ELT tools: dbt, AWS Glue, Airflow
- Strong knowledge of data warehousing solutions: Snowflake, Redshift, BigQuery
- Experience with cloud platforms (AWS preferred): S3, EMR, Lambda, Glue
- Understanding of data modeling techniques (star schema, normalization).
- Experience building scalable, distributed systems.
- Exposure to ML pipelines, feature engineering, and data preparation for AI models.
- Familiarity with data governance, lineage, and monitoring tools.
Benefits
Comp & perks- Competitive salary plus performance-based incentives.
- Access to a dynamic, international, and fast-growing environment.
- Strong opportunities for career progression within a global financial group.
- Be part of a business committed to innovation, excellence, and long-term growth.
ATS Keywords
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Hard Skills & Tools
SQLPythonApache SparkHadoopKafkaKinesisdbtAWS GlueAirflowdata modeling