Data Engineer for AI-Powered Data Platform

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 160,000 - 300,000; Full time

Benefits offered by this job

Permanent employment contract

Training package

Private medical care

Job summary

Accenture is seeking a data engineer in Poland to design, build, and operate scalable ELT/ETL pipelines using APIs, databases and event streams. You will develop Airflow workflows with monitoring and retries and model data in Snowflake and Databricks for analytics, reporting and AI applications.

You will collaborate with analytics engineers, data scientists and software engineers, improve data quality, investigate incidents, and contribute to engineering standards while leveraging AI coding

Qualifications

• Weakness-free SQL skills with complex queries and optimization.
• Proficiency in Python for data engineering and automation.
• Experience with Snowflake, BigQuery, Redshift or Synapse and orchestration tools.

Responsibilities

• Design, build, and operate scalable ELT/ETL pipelines from APIs, databases, event streams, and third-party systems.
• Develop and maintain orchestration workflows in Apache Airflow with monitoring, observability, retries, and alerting.
• Build and optimize data models in Snowflake and Databricks for analytics, reporting, and AI applications.
• Improve data quality through validation, testing, monitoring, and lineage.
• Investigate production incidents, perform root-cause analysis, and implement long-term fixes.
• Collaborate with analytics engineers, data scientists, product teams, and software engineers.
• Contribute to engineering standards (testing, Git workflows, CI/CD, documentation, code reviews).
• Leverage AI coding tools to accelerate development while maintaining quality.

Skills

SQL

Python

Snowflake

BigQuery

Redshift

Synapse

Airflow

Git

Data quality

Cloud data warehousing

AI coding tools

Communication

Tools

Databricks

Apache Spark

Delta Lake

DBT

Kafka

Kinesis

Terraform

CI/CD

Job description

Accenture is seeking a data engineer in Poland to design, build, and operate scalable ELT/ETL pipelines using APIs, databases and event streams. You will develop Airflow workflows with monitoring and retries and model data in Snowflake and Databricks for analytics, reporting and AI applications.

You will collaborate with analytics engineers, data scientists and software engineers, improve data quality, investigate incidents, and contribute to engineering standards while leveraging AI coding