AI-First Data Engineer (m/f/d)

About This Opportunity

We are representing a confidential SaaS organization building a modern data platform that serves high-volume business operations. Our client processes data for thousands of locations and millions of end users, requiring both scale and precision.

This is an AI-first data engineering role. You will build and maintain cloud-native data infrastructure while leveraging cutting-edge AI tooling to accelerate your work. The platform you own will power analytics, operational reporting, and machine learning systems—making clean, reliable, well-modeled data essential to everything downstream.

We're seeking either an experienced engineer ready to own the platform or a strong mid-level professional eager to step into greater ownership.

Responsibilities

• Build and optimize cloud-native data pipelines on AWS using ETL/ELT frameworks, incorporating AI tooling as a standard part of your workflow
• Work with modern data stack components including Aurora, Redshift, dbt, Spark/EMR, Airflow, and CDC technologies
• Design and evolve data models that support analytics, operational use cases, and AI/ML systems across a large-scale multi-tenant environment
• Establish and maintain data reliability practices—governance, testing, lineage—so both human analysts and AI systems can trust the data by default
• Collaborate with product and engineering teams to translate ambiguous business requirements into robust data solutions
• Evaluate emerging technologies and architectural patterns (data mesh, new AI tooling) and make informed decisions about what belongs in the production stack
• Contribute to financial and regulatory reporting workstreams where correctness and auditability are non-negotiable

What We're Looking For

Required:

• 3+ years of data engineering experience with a focus on data warehousing, and readiness to take on greater ownership than you've held previously
• Strong SQL and Python skills for data transformation and pipeline development
• Comfort using AI tools in your daily workflow—and the judgment to critically review and validate AI-generated output, especially where correctness matters
• Solid understanding of data architecture and modeling principles: dimensional modeling, slowly-changing dimensions, incremental patterns (or the drive to deepen this knowledge quickly)
• Hands-on experience with dbt on a cloud data warehouse—this is your primary environment
• Working knowledge of relational databases and some exposure to non-relational systems (DynamoDB, MongoDB)
• Track record of debugging complex data issues and implementing durable solutions
• Excellent written and verbal English communication

Nice to Have:

• AWS experience (Redshift, EMR, Glue, S3, IAM); GCP or Azure experience also valued
• Exposure to streaming or CDC technologies (Kafka, Kinesis, Debezium) or data mesh architectures
• Experience building data pipelines that feed ML or AI systems
• Background working with financial, payments, or regulated reporting data
• German language skills

How We Work with You

Candidates apply directly through Get A Job.ai. Our talent team will conduct an initial screening to understand your background and confirm fit. If we both agree to move forward, we will submit your profile to our client for their review and interview process.

Please do not attempt to contact the client directly. All communication and coordination will be managed through Get A Job.ai to ensure a smooth, professional process for everyone involved.

Pay

Pay via Get A Job.ai has not been disclosed for this role at this time. Compensation details will be shared during the screening process.

Location: Poland (remote or hybrid options available)

Employment Type: Full-time, permanent (UoP contract)

Get A Job.ai is an equal opportunity recruiter. We welcome applications from candidates of all backgrounds and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.