Senior Data Engineer - Remote/Hybrid (GCP, Airflow, PowerBI)

Sii Poland; Bydgoszcz; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Great Place to Work

Centre of internal trainings

Profit sharing

Regular integration events and trips

Comfortable and well-equipped offices

Job summary

Sii Poland is seeking an experienced Senior Data Engineer to join our team in Poland. You will build and maintain data pipelines, orchestrate workflows with Apache Airflow, and create curated data products for analytics and reporting.

This role supports Power BI reporting and analytics initiatives across multiple teams and projects. You will collaborate with stakeholders to define data requirements, ensure data quality, and implement scalable data architectures using cloud platforms (GCP),

Qualifications

• 5+ years of experience in data engineering and working with cloud-based data platforms.
• Strong expertise in Google Cloud Platform (GCP), particularly BigQuery.
• Proficiency in Python and SQL for data manipulation and analysis.

Responsibilities

• Building and maintaining data pipelines to ensure efficient data flow and accessibility.
• Implementing and managing data orchestration workflows using Apache Airflow.
• Creating and maintaining curated data products and semantic data layers that support reporting and analytics.

Skills

Data pipelines

Data orchestration

Cloud data platforms

Stakeholder collaboration

Data quality

Tools

BigQuery

Python

SQL

Apache Airflow

Power BI

Git/GitHub

Google Cloud Platform (GCP)

ETL/ELT concepts

dbt

Job description

Sii Poland is seeking an experienced Senior Data Engineer to join our team in Poland. You will build and maintain data pipelines, orchestrate workflows with Apache Airflow, and create curated data products for analytics and reporting.

This role supports Power BI reporting and analytics initiatives across multiple teams and projects. You will collaborate with stakeholders to define data requirements, ensure data quality, and implement scalable data architectures using cloud platforms (GCP),