Remote Data Engineer — Snowflake & Data Pipelines

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 180,000 - 280,000; Full time

Benefits offered by this job

Permanent contract

Professional development

Training package

Medical & life insurance

Share purchase plan

Referral program

Job summary

Accenture Polska is seeking a data engineering professional to design, build and maintain scalable data pipelines and data processing frameworks for analytics and AI use cases.

You will collaborate with stakeholders and solution architects to translate business requirements into robust data solutions, and optimize ingestion, transformation and orchestration across Snowflake and cloud platforms.

Qualifications

• Interest in cloud technologies and modern data engineering tools.
• Strong problem-solving and teamwork skills.
• Familiarity with data modeling, performance optimization and data loading.
• Experience with at least one cloud platform (AWS, Azure, or GCP).
• SQL proficiency and data pipeline experience.
• Programming in Python (preferred).
• Understanding of data engineering concepts (ETL/ELT, data warehousing, data lakes).
• Familiarity with workflow orchestration tools.
• Knowledge of data quality, data governance and data security principles.
• English language at least B2.
• Certifications in Snowflake or similar.

Responsibilities

• Design, build and maintain scalable data pipelines and data processing frameworks.
• Collaborate with stakeholders to translate requirements into data solutions.
• Implement and optimize data ingestion, transformation and orchestration.

Skills

Data engineering

Cloud technologies

SQL

Python

English (B2)

Teamwork

Agile delivery

Tools

Snowflake

AWS

Azure

GCP

Airflow

Docker

Kubernetes

Terraform

DBT

Matillion

Kafka

Job description

Accenture Polska is seeking a data engineering professional to design, build and maintain scalable data pipelines and data processing frameworks for analytics and AI use cases.

You will collaborate with stakeholders and solution architects to translate business requirements into robust data solutions, and optimize ingestion, transformation and orchestration across Snowflake and cloud platforms.