Data Engineer: Build Scalable Data Pipelines with Spark

Accenture; Poland; On-site; PLN 180,000 - 300,000; Full time

Job summary

Accenture Poland is seeking a Databricks-focused data engineer to join our Data Engineering practice. You will design and build modern data products and GenAI solutions on Databricks, collaborating with AI experts to deliver production-grade data pipelines.

You will work with PySpark, Spark SQL, Delta Lake, and Lakehouse concepts, implementing CI/CD through Git in cloud environments (AWS/GCP/Azure). The role emphasizes ETL/ELT development, data modeling, and collaboration with architects and

Qualifications

• 2+ years hands-on experience with SQL, Python or Spark in production environments.
• 1 year practical experience designing or implementing ETL/ELT using Databricks and Apache Spark in cloud environments.
• Exposure to data modelling and architecture: conceptual, logical and physical data models.

Responsibilities

• Design and implement scalable end-to-end data pipelines (ETL/ELT) using Databricks and Spark in cloud environments.
• Develop and maintain data models (Dimensional, relational, Data Vault) for analytics-ready datasets.
• Build data transformations using PySpark, Spark SQL and Delta Lake.
• Integrate diverse data sources into unified analytics datasets and collaborate with data scientists.
• Implement DevOps/DataOps practices including Git, CI/CD, and testing of data workflows.

Skills

SQL

Python

Spark

ETL/ELT

Data modeling

CI/CD

Git

Cloud data engineering

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Delta Lake

Lakehouse

Job description

Accenture Poland is seeking a Databricks-focused data engineer to join our Data Engineering practice. You will design and build modern data products and GenAI solutions on Databricks, collaborating with AI experts to deliver production-grade data pipelines.

You will work with PySpark, Spark SQL, Delta Lake, and Lakehouse concepts, implementing CI/CD through Git in cloud environments (AWS/GCP/Azure). The role emphasizes ETL/ELT development, data modeling, and collaboration with architects and