Data Engineer
Senior AI Data Engineer – Financial Data Infrastructure
Warsawfulltimesenior
Apply on the employer's siteRole description
22 minutes ago
Senior AI Data Engineer – Financial Data Infrastructure
Full time
- Middle
- Hybrid
- Warszawa, PL
SQLSparkKafkaAWSGCPAzure
23,100 – 33,600 PLN
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Job Description
Unleash the power of data to revolutionize finance — design the future of AI-driven financial infrastructures!
Poland-based opportunity with hybrid work model.
As a
Senior AI Data Engineer – Financial Data Infrastructure
, you will be working for our client, a leading organization in the finance and banking industry. You will play a pivotal role in building reliable, scalable, and secure data systems that underpin next-generation AI applications in financial services. Your expertise will enable innovative solutions and empower data-driven insights that transform the industry.
Your Main Responsibilities:
- Design and implement scalable data pipelines and ETL/ELT processes
- Build and maintain data warehouses and data lakes for large-scale financial datasets
- Ensure data quality, consistency, and compliance with industry regulations
- Transform and prepare data for machine learning models and predictive analytics
- Collaborate with AI Engineers and Data Scientists to optimize training and inference pipelines
- Work with real-time data streaming platforms such as Kafka or Spark Streaming
- Manage databases (SQL and NoSQL) ensuring high availability and performance
- Monitor, troubleshoot, and optimize data flows and infrastructure performance
- Contribute to cloud-based data architecture and infrastructure management
- Document data workflows, processes, and best practices
You're Ideal For This Role If You Have:
- Minimum 3 years of experience as a Data Engineer, AI Data Engineer, or similar role
- Proficiency in ETL/ELT processes and data pipeline development
- Strong knowledge of big data technologies such as Spark, Kafka, or Hadoop
- Experience with SQL and NoSQL databases
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) for data engineering solutions
- Understanding of machine learning workflows and data preparation for AI models
- Ability to work with both batch and real-time data processing
- Strong problem-solving skills and attention to detail
- Experience in the finance or banking industry is a strong advantage
- Fluent command of English and Polish, with excellent communication skills
Eligibility To Work On This Role:
Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.
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In line with the market for similar positions
Based on 37 similar vacancies
7 580 $/month
Your offer
5 053 $25%
6 625 $median
8 141 $75%
The range shows the lower and upper market bands: 25% of vacancies pay below the first value, the median is the typical salary, and 75% marks the upper band.
Unleash the power of data to revolutionize finance — design the future of AI-driven financial infrastructures!
Poland-based opportunity with hybrid work model.
As a
Senior AI Data Engineer – Financial Data Infrastructure
, you will be working for our client, a leading organization in the finance and banking industry. You will play a pivotal role in building reliable, scalable, and secure data systems that underpin next-generation AI applications in financial services. Your expertise will enable innovative solutions and empower data-driven insights that transform the industry.
Your Main Responsibilities:
- Design and implement scalable data pipelines and ETL/ELT processes
- Build and maintain data warehouses and data lakes for large-scale financial datasets
- Ensure data quality, consistency, and compliance with industry regulations
- Transform and prepare data for machine learning models and predictive analytics
- Collaborate with AI Engineers and Data Scientists to optimize training and inference pipelines
- Work with real-time data streaming platforms such as Kafka or Spark Streaming
- Manage databases (SQL and NoSQL) ensuring high availability and performance
- Monitor, troubleshoot, and optimize data flows and infrastructure performance
- Contribute to cloud-based data architecture and infrastructure management
- Document data workflows, processes, and best practices
You're Ideal For This Role If You Have:
- Minimum 3 years of experience as a Data Engineer, AI Data Engineer, or similar role
- Proficiency in ETL/ELT processes and data pipeline development
- Strong knowledge of big data technologies such as Spark, Kafka, or Hadoop
- Experience with SQL and NoSQL databases
- Hands-on experience with cloud platforms (AWS, GCP, or Azure) for data engineering solutions
- Understanding of machine learning workflows and data preparation for AI models
- Ability to work with both batch and real-time data processing
- Strong problem-solving skills and attention to detail
- Experience in the finance or banking industry is a strong advantage
- Fluent command of English and Polish, with excellent communication skills
Eligibility To Work On This Role:
Only candidates with an existing legal right to work in the European Union will be considered for this role.
#MAKEYourCareerBETTER
Interested? Apply now and include your CV in English or Polish, along with a statement confirming your consent to the processing and storage of your personal data.
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