Databricks Data Engineer: Lakehouse Pipelines & GenAI

4900 Accenture Sp. z o.o. Company; Warszawa; Hybrid; PLN 190,000 - 270,000; Full time

Benefits offered by this job

Private medical care

Life insurance

WorkSmile platform access

Employee referral program

Job summary

Accenture is seeking a Data Engineer in Poland to design and build scalable data pipelines on Databricks, applying Delta Lake and Lakehouse pattern. You will model data, implement ETL/ELT processes, and collaborate with data scientists to deliver production-grade data products.

We value hands-on experience with Spark, PySpark, SQL, and cloud platforms (GCP/AWS/Azure). A hybrid work model with travel across Europe is offered, along with a strong training package and benefits.

Qualifications

• 2+ years in relational or analytical DBs with SQL/Python/Spark in production.
• At least 1 year designing ETL/ELT with Databricks/Spark in cloud env.
• Experience with dimensional or data vault data modeling in analytics.

Responsibilities

• Design and implement scalable end-to-end data pipelines using Databricks.
• Develop data models and transformations with PySpark and Spark SQL.
• Collaborate with architects, analysts and data scientists to deliver data products.
• Apply DevOps/dataops practices, including Git, CI/CD, and testing.

Skills

Databricks & Spark

SQL

Python

Spark SQL

ETL/ELT design

Data modeling

DevOps/DataOps

CI/CD

Tools

Databricks platform

Delta Lake

Lakehouse architecture

dbt

Airflow/ orchestration

Delta Live Tables

Unity Catalog

Automated testing

Job description

Accenture is seeking a Data Engineer in Poland to design and build scalable data pipelines on Databricks, applying Delta Lake and Lakehouse pattern. You will model data, implement ETL/ELT processes, and collaborate with data scientists to deliver production-grade data products.

We value hands-on experience with Spark, PySpark, SQL, and cloud platforms (GCP/AWS/Azure). A hybrid work model with travel across Europe is offered, along with a strong training package and benefits.