Data Engineer (AI & Backend Support)

AIFANO GmbH; Herford; Hybrid; EUR 50.000 - 80.000; Vollzeit

Zusammenfassung

A technology-driven company in Herford is seeking a Data Engineer to design and implement data models for AI applications. The ideal candidate has strong expertise in data modeling, database design, and Python, along with experience in developing scalable data pipelines. The role supports hybrid work options and requires collaboration with AI teams to optimize business processes.

Qualifikationen

• Strong expertise in data modeling, database design, and backend architecture.
• Experience with Supabase, Prisma, PostgreSQL, and event-driven architectures.
• Knowledge of ETL pipelines, data warehouses, and real-time data processing.

Aufgaben

• Design and implement data models to support AI-driven applications.
• Develop scalable data pipelines using Supabase, Prisma, and event-driven architectures.
• Collaborate with AI engineers to integrate foundation models into enterprise workflows.

Kenntnisse

Data modeling

Database design

Backend architecture

Python

TypeScript/JavaScript

ETL pipelines

OpenAI integration

MLOps

Kafka

Supabase

Tools

Supabase

Prisma

PostgreSQL

Kafka

RabbitMQ

Spark

Jobbeschreibung

Aifano GmbH is an AI-driven company dedicated to revolutionizing enterprise workflows through intelligent automation and data-driven solutions. We develop products that seamlessly integrate AI technologies to optimize business processes efficiently. Our focus is on leveraging the best foundation models fine-tuning AI for enterprise needs and ensuring secure scalable AI adoption.

Data Engineer (AI & Backend Support)

Are you passionate about data engineering backend development and AI-powered technologies? Do you enjoy designing scalable data models, optimizing pipelines, and leveraging machine learning for intelligent automation? If so, Aifano GmbH is looking for you!

Responsibilities

• Design and implement data models to support AI-driven applications.
• Develop scalable data pipelines using Supabase, Prisma, and event‑driven architectures.
• Support backend teams with database architecture, query optimization, and API development.
• Investigate and implement prompt engineering techniques for AI model optimization.
• Research and apply machine learning technologies to extract and process enterprise data.
• Ensure data integrity, security, and performance across distributed systems.
• Collaborate with AI engineers to integrate foundation models into enterprise workflows.
• Write clean, testable, and well‑documented code for data infrastructure and services.

Qualifications

• Strong expertise in data modeling, database design, and backend architecture.
• Experience with Supabase, Prisma, PostgreSQL, and event‑driven architectures.
• Knowledge of ETL pipelines, data warehouses, and real‑time data processing.
• Familiarity with prompt engineering and machine learning frameworks.
• Experience integrating AI models into backend systems (OpenAI, Cohere, Anthropic).
• Proficiency in Python and TypeScript/JavaScript for backend support.
• Strong problem‑solving skills and a passion for AI‑driven automation.
• Hands‑on experience with foundation models and their enterprise applications.
• Knowledge of MLOps, model fine‑tuning, and RLHF.
• Experience with message queues (Kafka, RabbitMQ) and distributed computing.
• Contributions to open‑source projects or a strong GitHub portfolio.

Benefits

Remote‑first with options for hybrid work in Germany.
Start date: ASAP.

Key Skills

Apache Hive, S3, Hadoop, Redshift, Spark, AWS, Apache Pig, NoSQL, Big Data, Data Warehouse, Kafka, Scala.

Employment Type: Employee

Experience: years

Vacancy: 1