Database Architect/Engineer (Big Data/ Data Analyst/ AI)

Database Architect/Engineer (Big Data/ Data Analyst/ AI)

Data

Na Ostatnim Groszu 3, Wrocław

ALTIMI

Full-time
B2B
Senior
Remote

Tech stack

    Polish

    C2

    English

    C1

    PostgreSQL

    master

    Firestore/MongoDB

    master

    Redis

    master

    Elasticsearch

    master

    Python

    master

    Apache Airflow

    master

    GCP

    master

    Docker

    advanced

    Kubernetes

    advanced

Job description

Description:

We are seeking a skilled and experienced Database Architect/Engineer to join our team in building a cutting-edge AI-driven educational technology platform. The ideal candidate will have a strong background in designing scalable, high-performance, and secure database architectures, with hands-on experience in both SQL and NoSQL environments.


Job Responsibilities:

  • Design and implement robust data architectures optimized for scalability, performance, and security.

  • Build and maintain ETL pipelines for data warehousing and analytics.

  • Manage and integrate data from various sources to ensure consistency and accessibility.

  • Develop BI dashboards using lightweight, cloud-based tools (e.g., Google Data Studio, Metabase, Redash, Superset).

  • Collaborate with solution and infrastructure architects to implement data storage systems.

  • Support advanced analytics and AI model training/inference through well-structured data solutions.


Required Experience:

  • Strong knowledge of SQL (PostgreSQL) and NoSQL (Firestore, MongoDB).

  • Experience with caching tools (Redis) and search/analytics engines (ElasticSearch).

  • Proficiency in Python and Apache Airflow for data workflows and ETL processes.

  • Experience processing large volumes of data in cloud environments (GCP, AWS, or Azure).


Nice to Have:

  • Familiarity with Apache Hadoop, Apache Spark, n8n, BigQuery, DataBricks.

  • Strong data and business analytics skills.

  • Experience designing data solutions in microservices-based architectures.

  • Knowledge of Kubernetes & Docker.

  • Experience using databases as vector stores for AI applications.

  • Familiarity with cloud-based file storage systems.


What We Offer:

  • Opportunity to work on a long-term international project for a German client

  • A professional and collaborative work environment

  • MultiSport card

  • LuxMed medical package

  • Allianz group insurance

  • Value-based work culture

  • Flexible working hours and remote work options. 

Published: 12.08.2025
Office location
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