Data Engineer [AI Development & Automation]

Job Description

For our Telco client based in Bratislava, we are looking for a Data Engineer

 

Work model: Freelancing or B2B 

Start: September 2026

Location: Bratislava - hybrid model 

Mission:

  • design, implementation and automation of data flows (ETL/ELT), monitoring their operation and performance optimization in the telecommunications sector
  • utilization of modern AI tools to accelerate development and automate data solutions
  • analysis of business and technical requirements and design of end-to-end data solutions (datasets, BI reports, APIs, visualizations)
  • cooperation with data architects, analysts, Data Science teams and external suppliers in the design of data models and infrastructure
  • design and implementation of data integrations including APIs and processing data from various sources
  • responsibility for data quality, technical documentation and adherence to security standards when working with sensitive data
  • coordination of technical implementation of projects from analysis through development, testing to production deployment and post-deployment support
  • monitoring the performance of data solutions, resolving incidents and meeting defined KPIs
  • consultations with stakeholders, proposals for improving data processes and active participation in the development of the data platform
  • work in Agile and Waterfall environments including project evaluation and preparation of recommendations for further development
  • cooperation possible in a hybrid ON-SITE / REMOTE mode, preferably min. 2-3 days per week on-site [Bratislava], the rest remote
  • final remuneration depends on the candidate's experience and the course of the selection process

Project requirements

min. 3-year demonstrable experience in data engineering, ideally in IT, telco or finance experience with the use of AI tools in development and/or automation of data solutions (e.g., agent AI, MCP, AI assistants for development, ...)

advanced knowledge:

SQL, relational DB (Oracle, PL/SQL advantage)

ETL/ELT and data integrations (API, data flows)

DWH principles and design of scalable infrastructure

experience with:

programming language Python (at least intermediate-advanced level)

BI tools (Power BI, Qlik, Tableau)

tools (JIRA, Confluence, MS 365)

knowledge of project methodologies (Agile/ Waterfall)

advantageous:

cloud/on-prem data infrastructure

batch & streaming data processing

Unix, scripting

CI/CD

active knowledge of the English language spoken and written (min. B2)

2nd level university degree

independence and ownership

analytical thinking and problem-solving

strong communication and stakeholder management

time management and prioritization

proactivity and orientation towards improvement

Category :

Data – Analytics – IA

Reference :

JO080425063
tt-consulting emplois

Locality

Central Europe

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