5 дней назад
AI-First Data Engineer (m/f/d)
72 000 - 82 000€
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
AI-First Data Engineer (m/f/d) (AWS/data platform): Building cloud-native data pipelines and well-modeled warehouse data for analytics, operational use cases, and AI/ML with an accent on reliability, governance, and cost-efficient warehousing. Focus on designing ETL/ELT infrastructure with dbt, Redshift, Spark/EMR, Airflow, and CDC, validating AI-generated work, and developing audit-ready financial data capabilities.
Location: Remote within Germany
Salary: €72,000–€82,000 per year
Company
builds the data platform behind Magicline and Finion, serving thousands of gyms and more than 10 million members.
What you will do
- Build and optimize cloud-native data pipelines and supporting infrastructure on AWS using ETL/ELT, Aurora, Redshift, dbt, Spark/EMR, Airflow, and CDC.
- Design and evolve data models for analytics, operational use cases, and AI/ML across thousands of studios.
- Improve data reliability through governance, testing, and lineage so data can be trusted by people and AI systems.
- Partner with product and engineering teams to turn ambiguous business problems into robust data solutions.
- Evaluate data mesh patterns and emerging AI tooling, using AI tools while reviewing and validating their output.
- Grow into financial and regulatory reporting, with a focus on correctness and auditability.
Requirements
- 3+ years of data engineering experience focused on data warehousing.
- Strong SQL and Python skills for data work.
- Hands-on experience with dbt on a cloud warehouse.
- Understanding of data architecture and modeling principles, including dimensional modeling, slowly changing dimensions, and incremental patterns.
- Working knowledge of relational databases and exposure to non-relational databases such as DynamoDB and MongoDB.
- Excellent written and verbal English; the role is remote within Germany.
Nice to have
- AWS experience with Redshift, EMR, Glue, S3, or IAM; GCP and Azure experience is also welcome.
- Experience with streaming or CDC technologies such as Kafka, Kinesis, or Debezium, or with data mesh.
- Experience building data pipelines for ML or AI systems.
- Exposure to financial, payments, or regulated reporting data.
- German language skills for stakeholder collaboration.
Culture & Benefits
- 100% mobile work within Germany with flexible working hours.
- 30 days of annual leave based on a five-day workweek.
- Choice of the Move Republic program or EGYM Wellpass with a €20 monthly co-pay.
- Access to Udemy online courses.
- Deutschland Ticket subsidy, company pension scheme, and employee discounts in Germany and Austria.
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