AI-First Data Engineer

TL;DR

AI-First Data Engineer (AI-First Data Engineer): Build and optimize cloud-native data pipelines on AWS with an accent on ETL/ELT, data modeling, and AI tooling in the workflow. Focus on data reliability through governance, testing, and lineage, while turning ambiguous business problems into robust data solutions.

Location: 100% remote work within Germany

Salary: EUR 72,000 – EUR 82,000 per year

Company

hirify.global develops software for fitness studio management, financial services, and member platforms.

What you will do

• Build and optimize cloud-native data pipelines on AWS (ETL/ELT) and supporting infrastructure (Aurora, Redshift, dbt, Spark/EMR, Airflow, CDC) using AI tooling as part of the workflow.
• Design and evolve data models powering analytics, operational use cases, and AI/ML across thousands of studios.
• Improve data reliability by embedding governance, testing, and lineage so both people and AI systems can trust the numbers.
• Partner with product and engineering teams to convert ambiguous business problems into robust data solutions.
• Evaluate and evolve approaches such as data mesh patterns and emerging AI tooling to decide what belongs in the stack.
• Grow into financial and regulatory reporting workstreams (Finion Capital) with a focus on correctness and auditability.

Requirements

• 3+ years of data engineering experience with a focus on data warehousing and willingness to take more ownership.
• Strong SQL and Python for data work.
• Comfort working with AI tools, with the ability to review and validate AI outputs (treat AI output as a draft to verify).
• Solid understanding of data architecture and modeling (dimensional modeling, slowly-changing dimensions, incremental patterns) or strong drive to deepen it quickly.
• Hands-on experience with dbt on a cloud warehouse.
• Excellent written and verbal English.

Nice to have

• AWS experience (Redshift, EMR, Glue, S3, IAM) and/or experience with GCP or Azure.
• Streaming/CDC technologies (Kafka, Kinesis, Debezium) or data mesh experience.
• Experience building data pipelines for ML/AI systems.
• Exposure to financial, payments, or regulated reporting data.
• German (helpful for stakeholder work, not required).

Culture & Benefits

• 100% remote work within Germany.
• 30 days annual leave with a 5-day workweek.
• Flexible working hours.
• Fitness & well-being support via Move Republic Program or EGYM Wellpass (with a €20/month co-pay).
• Learning support via Udemy access.
• Deutschland Ticket subsidy and a company pension scheme (bAV).
• Employee discounts in Germany and Austria.

Hiring process

• Application review followed by interviews to assess technical fit and collaboration style.
• Discussion of experience with data pipelines, modeling, and validation of AI-assisted outputs.