GenAI Databricks ML Engineer

Accenture PLC; Warszawa; Hybrid; PLN 180,000 - 240,000; Full time

Benefits offered by this job

Private medical care

Life insurance

WorkSmile benefits

Job summary

Accenture plc is seeking a data/AI professional for our Databricks Community of Practice in Poland. You will design scalable data pipelines, build Lakehouse models, and collaborate with data scientists to deliver production-grade analytics solutions.

Experience with PySpark, Delta Lake, and MLflow is essential. The role requires a pragmatic, continuous-learning mindset and proficiency in English, with hybrid work and international collaboration opportunities across Europe.

Qualifications

• At least 2 years of experience applying data-driven approaches to business scenarios, including design, deployment, and operation of advanced analytics and machine learning solutions.
• Within this experience, at least 1 year working with Databricks in Generative AI and/or Agentic AI, building scalable AI/ML solutions.

Responsibilities

• Design and implement scalable end-to-end data pipelines (ETL/ELT) using Databricks (batch and streaming), including Delta Live Tables.
• Develop and maintain data models using Lakehouse and Medallion architecture (Bronze, Silver, Gold).
• Build robust data transformations using PySpark, Spark SQL, and Delta Lake.
• Integrate diverse cloud and enterprise data sources into analytics-ready datasets.
• Collaborate with architects, analysts, and data scientists to deliver production-grade data products.
• Implement DevOps and DataOps practices, including Git-based version control, CI/CD pipelines, and testing of data workflows.

Skills

Databricks AI/ML

ML Ops

LLM/GenAI

Python AI frameworks

Data pipelines

Tools

MLflow

Delta Live Tables

Repos

Asset Bundles

Mosaic AI

Job description

Accenture plc is seeking a data/AI professional for our Databricks Community of Practice in Poland. You will design scalable data pipelines, build Lakehouse models, and collaborate with data scientists to deliver production-grade analytics solutions.

Experience with PySpark, Delta Lake, and MLflow is essential. The role requires a pragmatic, continuous-learning mindset and proficiency in English, with hybrid work and international collaboration opportunities across Europe.