Data & AI Engineer

Cocus; Düsseldorf; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A technology solutions provider in Düsseldorf is seeking an experienced Data Engineer & Data Scientist to design and implement innovative data solutions. This role requires strong expertise in Python, ETL processes, and database management, as well as excellent communication skills. The ideal candidate will have a Master's degree in applied mathematics or computer science and experience with CI/CD and secure data handling. The position offers a hybrid work model and benefits including up to 30 vacation days, a pension plan, and team-oriented culture.

Leistungen

Informal and friendly culture

Company phone for personal use

Hybrid work model

30 vacation days

Employee Assistance Program

Company-financed pension plan

Qualifikationen

• Several years of experience as Data Engineer & Data Scientist.
• Excellent knowledge of Python.
• Proven track record of secure data handling.

Aufgaben

• Designing & building ETL & AI utilities.
• Collaborate with subject matter experts and data scientists.
• Creating detailed documentation of the solution.

Kenntnisse

Python

Docker

PostgreSQL

Neo4j

CI/CD

Airflow

Jupyter

RAG

Kafka

Big Data

Ausbildung

Master's degree in applied mathematics and computer science

Tools

Docker Compose

Redis

Celery

S3

Hadoop

Spark

Jobbeschreibung

COCUS is all about People! We are proud to deliver skilled services and products developed by great talent with attitude and ambition to work in innovative IT solutions.

We are partnering with worldwide industry leaders and always looking for the brightest minds to have fun working Digital & Cloud Solutions Data Services Connectivity and Security.

Emotions are part of us we encourage everyone to be what they truly are in our collaborative informal transparent and open environment where everyone can contribute to the path to achieve our goals as a Team!

Responsibilities

• Designing & building ETL & AI utilities
• Designing & implementing data models for relational and graph databases
• Graph modelling relationship extraction querying
• Exploratory data analysis prototyping model evaluation
• Prompt design vector store setup inference service orchestration
• CI/CD & Automation: Docker build image tagging automated testing via make
• Creating detailed documentation of the solution
• Analyzing various documents in different formats to use as a source for the knowledge graph solution
• Collaborate with subject matter experts and data scientists in the team to design and build the solution.

Qualifications

• Several years of experience as Data Engineer & Data Scientist building tailored pipelines and analyzing complex data sets for various use cases
• Excellent knowledge of Python
• Practical experience with local LLMs including embedding engineering
• Ability to integrate LLM services (OpenAI local LLMs) and vector stores
• Strong background in Airflow DAG development and orchestration other ETL tools would be a plus
• Comfortable with Docker Compose and building custom images
• Very good hands-on knowledge of PostgreSQL Neo4j & Cypher Redis and Celery
• Familiar with Jupyter for rapid experimentation
• Proven track record of secure data handling (encryption git-secret) and CI/CD pipeline setup
• Excellent documentation skills
• Excellent communication skills
• Fluent German and English excellent written and verbal
• Masters degree in applied mathematics and computer science

Additional Technical Experience

• Practical experience (implemented use cases) with RAG
• Knowledge of various ETL/ELT tools like dbt NiFi Knime etc Practical experience with ML tools (real business use cases)

Benefits

• Informal and friendly culture that rewards innovation and teamwork with global projects in a fast-paced environment having a direct impact on the solution/application
• Permanent work contract and salary according to experience
• Two pet friendly offices in Germany
• Company phone for personal use
• Enjoy up to 30 vacation days
• Employee Assistance Program
• Company ticket for public transportation and parking spots available
• Benefit from a company-financed pension plan
• Take advantage of a leasing option for bikes and shop for personal use with company contribution
• Hybrid work model 2 days of home office per week
• Referral program with bonus - invite a friend to join the team.

Key Skills

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

Employment Type: Full-Time

Experience: years

Vacancy: 1