Data & Analytics Engineer – AI Platform

IONOS

Data & Analytics Engineer responsible for data pipelines and analytics for AI customer care platform at IONOS. Collaborating with teams to optimize data processes and monitor system health.

Posted 6/8/2026full-timeBucharest • 🇷🇴 RomaniaMid-LevelSeniorWebsite

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Hard Skills

PythonSQLdbtPostgreSQLElasticsearchLookerStreamlitPrometheusGrafanaAI tools

Soft Skills

collaborationcommunicationproblem-solvinganalytical thinkingstakeholder engagementdata-driven decision makingattention to detailproactive alerting

Tools & Technologies

data pipelinesdata lifecycle managementbusiness-facing dashboardsinternal data applicationsdata stackAI servicesmonitoring systems

Industry Keywords

data processingkey performance indicatorsdata qualityservice degradationdata transformationmetadata taggingcontext window optimization

Tech Stack

Tools & technologies

CloudElasticSearchGrafanaPostgresPrometheusPythonSQL

About the role

Key responsibilities & impact

Design and operate reliable data pipelines using Python and SQL to ingest and transform interaction data from voice and text channels.
Manage the data lifecycle within our core databases: PostgreSQL for structured application data and Elasticsearch for search and retrieval.
Build and maintain scalable dbt projects to transform raw logs into high-quality, governed data models.
Act as a Data Analyst expert: collaborate with stakeholders to define key performance indicators (KPIs) like resolution rates, intent accuracy, and cost-per-interaction.
Build and maintain business-facing dashboards in Looker and internal data applications in Streamlit.
Translate complex technical traces into actionable insights for the product and business teams.
Own the "Retrieval" layer: optimize how data is indexed and queried in Elasticsearch to improve AI response context.
Develop the pipelines that manage chunking, metadata tagging, and context window optimization.
Instrument our data stack and AI services with Prometheus and Grafana to monitor system health, latency, and pipeline reliability.
Ensure proactive alerting for data quality issues or service degradations.

Requirements

What you’ll need

Elite Python & SQL Skills: Deep experience writing clean, maintainable code for data processing.
AI-Assisted Development: High proficiency in using AI tools (e.g., Claude Code, Cursor, or other LLMs) to accelerate your coding, debugging, and documentation process.
Modern Data Stack: Expert-level experience with dbt and cloud data warehousing/databases.
Database Management: Hands-on experience operating and optimizing PostgreSQL and Elasticsearch.
BI & Apps: Experience designing complex models in Looker and building interactive tools with Streamlit.
Observability: Experience using Prometheus and Grafana to monitor production systems.

Benefits

Comp & perks

Access to local/international trainings, development and growth opportunities, including access to e-learning platforms, covering both technical and soft skills areas;
Modern technologies, product responsibility;
Flexible work schedule;
Hybrid work option;
Medical services package from one of two private providers;
25 vacation days per year;
Substitute days off for public holidays that occur on the weekend;
Meal tickets;
Internal referral program;
Team events, networking events organized to promote a passionate, creative and diverse culture;
Summerfest and Winterfest parties;
Of course, coffee, soft drinks and fresh fruits are on us in the office.