Remote Data Engineer: Scalable Pipelines & AI Insights

Rayda; Polska; Hybrid; PLN 120.000 - 180.000; Vollzeit

Zusammenfassung

Rayda is an asset lifecycle management company seeking a remote data engineer to design and maintain scalable data pipelines. You will integrate databases, APIs, CRM systems, product analytics, IT ticketing platforms and device telemetry.

Develop reliable data models for business reporting, product analytics and customer-facing apps, and build data infrastructure for dashboards, anomaly detection, and AI-powered recommendations. Ensure data quality and scalable performance.

Qualifikationen

• Demonstrated experience designing, deploying and maintaining production-grade data pipelines.
• Strong SQL proficiency and experience working with relational databases and complex datasets.
• Hands-on experience with ETL/ELT processes and pipeline monitoring.
• Proficiency in Python or another suitable data engineering language.
• Experience integrating databases, REST APIs, SaaS platforms and external data sources.
• Experience designing and implementing data warehouses, lakehouses or analytical data platforms.
• Knowledge of data modelling, data quality, validation and schema management.
• Familiarity with cloud infrastructure, data storage, access controls and production reliability.
• Ability to evaluate technical architecture based on performance, scalability, cost and business requirements.
• Strong analytical, problem-solving and independent execution skills.

Aufgaben

• Design, build, deploy and maintain scalable, production-grade data pipelines and ETL/ELT workflows.
• Integrate data from operational databases, APIs, CRM systems, product analytics, IT ticketing platforms and device telemetry.
• Evaluate and implement appropriate data warehouses, lakehouses and analytical databases.
• Develop reliable data models and reusable datasets for business reporting, product analytics and customer-facing applications.
• Build the data infrastructure supporting customer intelligence dashboards, anomaly detection, predictive insights and AI-powered recommendations.
• Establish data quality standards, automated validation, monitoring, alerting and recovery mechanisms.
• Improve data collection, instrumentation, schema management and data documentation.
• Implement secure data processing practices, access controls and customer-level data isolation.
• Optimise data storage, processing performance, scalability and infrastructure costs.
• Collaborate with Product, Engineering, Finance and Operations to translate business requirements into reliable data solutions.
• Maintain technical documentation covering data architecture, integrations, pipeline dependencies and operational procedures.

Kenntnisse

SQL

Python

ETL/ELT

Data pipelines

Data modeling

Cloud platforms

Tools

dbt

Airflow

Dagster

ClickHouse

BigQuery

Snowflake

Jobbeschreibung

Rayda is an asset lifecycle management company seeking a remote data engineer to design and maintain scalable data pipelines. You will integrate databases, APIs, CRM systems, product analytics, IT ticketing platforms and device telemetry.

Develop reliable data models for business reporting, product analytics and customer-facing apps, and build data infrastructure for dashboards, anomaly detection, and AI-powered recommendations. Ensure data quality and scalable performance.