Remote Data Engineer: Scalable ETL/ELT & AI Pipelines

Fyerx; Poland; Remote; PLN 180,000 - 280,000; Full time

Job summary

Fyerx is hiring a Data Engineer to architect, build, and maintain scalable ETL/ELT pipelines for internal use and client platforms. Remote work is available, with a focus on robust data integration, quality checks, and secure data flows.

You will work with AI specialists, backend engineers, and marketing teams to ensure clean, structured data reaches large language models and dashboards. Strong SQL, Python/Scala, and cloud data stack experience are required.

Qualifications

• 3+ years of professional data engineering experience with a proven track record of designing, building, and deploying automated, production-grade data pipelines.
• Advanced proficiency in SQL and programming languages such as Python or Scala, alongside a deep understanding of data modeling, schema design, and query optimization.
• Solid hands-on experience with modern data stack tools, cloud infrastructure (AWS, GCP, Azure), data warehousing (BigQuery, Snowflake, Redshift), and orchestration platforms (Airflow, n8n).
• Proven expertise in integrating complex enterprise APIs, handling JSON/XML payloads, and securely synchronizing databases with external marketing networks and CRM platforms.
• Strategic problem-solving skills with an uncompromising focus on data governance, security compliance, and writing clean, scalable, and well-documented infrastructure code.
• Strong organizational, time-tracking, and project management skills; ability to handle multiple data integration projects simultaneously, meet tight deadlines, and coordinate effectively with remote tech teams.

Responsibilities

• Architect, build, and maintain highly scalable ETL/ELT data pipelines and infrastructure for Fyerx's internal operations and diverse client tech transformations.
• Develop automated workflows (using tools like n8n, webhooks, and REST APIs) to securely extract, normalize, and merge cross-platform metrics from tools like Google, Meta, GA4, and various CRMs.
• Manage and optimize relational databases and cloud data warehouses (e.g., PostgreSQL, Snowflake, BigQuery) to ensure low-latency data access for downstream AI scripts, dashboards, and reporting tools.
• Collaborate closely with AI specialists, backend engineers, and marketing teams to ensure clean, structured data payloads are correctly routed to large language models, agentic workflows, and automated alerting systems.
• Implement robust data quality checks, automated deduplication processes, and comprehensive monitoring to proactively flag anomalies, prevent budget waste, and maintain total data integrity.
• Strong organizational, time-tracking, and project management skills; ability to handle multiple data integration projects simultaneously, meet tight deadlines, and coordinate effectively with remote tech teams.

Skills

SQL

Python

Scala

Data modeling

Cloud platforms

Airflow

n8n

API integration

Data governance

Collaboration

Tools

PostgreSQL

Snowflake

BigQuery

Redshift

AWS

GCP

Azure

Airflow

n8n

Job description

Fyerx is hiring a Data Engineer to architect, build, and maintain scalable ETL/ELT pipelines for internal use and client platforms. Remote work is available, with a focus on robust data integration, quality checks, and secure data flows.

You will work with AI specialists, backend engineers, and marketing teams to ensure clean, structured data reaches large language models and dashboards. Strong SQL, Python/Scala, and cloud data stack experience are required.