Databricks AI ML Engineer (ICH Europe)

Accenture Poland; Warszawa; Hybrid; PLN 120,000 - 180,000; Full time

Benefits offered by this job

Private medical care

Life insurance

Employee Assistance Program

Training packages and courses

Employee share purchase plan

Paid employee referral program

Job summary

Accenture Poland in Warsaw is seeking a skilled data engineer with at least 2 years of experience in data-driven approaches. The role involves designing scalable data pipelines, maintaining data models using the Lakehouse architecture, and implementing DevOps practices. Candidates should have hands-on experience with Databricks and AI/ML solutions. The position offers a hybrid work model and personal development opportunities, along with benefits such as private medical care and life insurance.

Qualifications

• At least 2 years of experience in data-driven business scenarios.
• 1 year working with Databricks in AI/ML solutions.
• Professional working proficiency in English.

Responsibilities

• Design and implement scalable end-to-end data pipelines.
• Develop and maintain data models using Lakehouse architecture.
• Integrate diverse cloud and enterprise data sources.

Skills

Data-driven approaches

Collaborative skills

Continuous learning

Machine learning concepts

Tools

Databricks

PySpark

Python

Azure

AWS

GCP

Job description

Join the Databricks Community of Practice in Poland, where delivery excellence is at the core of everything we do. We design and build modern data products as well as advanced GenAI and agentic solutions powered by Databricks.

As part of a global network of 9,000+ AI experts and data scientists, we collaborate with leading technology partners—including Databricks, AWS, Google Cloud, Microsoft, Snowflake, and SAS—to deliver scalable, enterprise‑grade data solutions that generate measurable business impact.

About the Intelligent Consulting Hub (ICH) – A part of the Europe Strategy & Consulting practice, pulling together multinational and cross‑cultural professionals based at key locations across Europe. No matter where the business is, our unrivaled industry and function experts help our clients shape the future creating measurable value. Our Poland part of ICH Consulting Hub is located in Warsaw, Kraków, Wrocław, Łódź and Gdańsk. Your impact will be truly global as you will leverage an unmatched network of people, knowledge, tools and technologies and work alongside some of the best thinkers in the market.

Responsibilities

• Design and implement scalable end‑to‑end data pipelines (ETL/ELT) using Databricks (batch and streaming), including modern orchestration patterns such as Delta Live Tables
• Develop and maintain data models using Lakehouse and Medallion architecture (Bronze, Silver, Gold layers)
• Build robust data transformations using PySpark, Spark SQL, and Delta Lake
• Integrate diverse cloud and enterprise data sources into unified, high‑quality, 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

Experience Requirements

• At least 2 years of experience applying data‑driven approaches to business scenarios, including the 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 (e.g., RAG, tool‑using agents, evaluation and monitoring)

Technical Skills

• Hands‑on experience delivering AI/ML and GenAI solutions on Databricks (Lakehouse AI / Databricks ML) in production
• Practical Databricks MLOps skills: MLflow (tracking + Model Registry), MLflow Tracing, Workflows/Jobs (orchestration), Repos, and Asset Bundles (packaging/deploying across environments)
• Familiarity with Databricks GenAI capabilities: Mosaic AI Vector Search (RAG), Agent Framework, AI Gateway, and AI/BI Genie (governed NL Q&A / NL‑to‑SQL aligned with Unity Catalog)

Frameworks & Libraries

• Python‑based AI frameworks such as LangChain, LangGraph, CrewAI, AutoGen, LlamaIndex, Hugging Face Transformers, or similar

Cloud Platforms

• Experience delivering analytical projects on Azure, AWS, or GCP, ideally with Databricks as the execution layer
• Examples: Azure OpenAI / AWS Bedrock / Vertex AI used alongside Databricks for GenAI workloads

Algorithms & Concepts

• Solid understanding of machine learning and data science techniques including:
  • Clustering, regression, classification, forecasting
  • Neural networks, hyperparameter optimization
  • NLP, LLMs, retrieval concepts, and evaluation of GenAI systems

Other Skills

• Ability to translate complex business requirements into robust, data‑driven solutions and production‑ready architecture
• Strong appetite for continuous learning and skill development in emerging AI technologies
• Professional working proficiency in English

Benefits

• Individual support of a People Lead and a specific path of professional development, and the possibility of a session with a Coach
• A wide training package (soft, technical, and language training offer, access to the e‑learning platforms, Gallup test, GenAI training, possibility of co‑financing courses, and certification)
• Employee Assistance Program – legal, financial, and psychological consultations
• Accenture employees eligible for the Employee share purchase plan automatically become eligible for quarterly dividends if they own company shares
• Paid employee referral program
• Private medical care and life insurance
• Access to the WorkSmile benefits platform (possibility of using a wide range of products and services, including the Multisport card)

Working Conditions

• Employment contract (umowa o pracę)
• Headquarters in Warsaw
• Travel required to work with prestigious clients and deliver large‑scale transformational change. Work is delivered in a hybrid model, remotely, in our offices, and traveling to client locations across Europe and beyond for short or long term as needed
• The work location may include a mix of working remotely, onsite at a client, or in an Accenture office – depending on specific project circumstances. Flexibility is provided to support work‑life needs

EEO Statement

Accenture does not discriminate employment candidates on the basis of race, religion, color, gender, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, orientation or any other basis impermissible under Polish law. All our leaders are committed to building a better, stronger and more durable company for future generations to create positive, long‑lasting change. Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and creative, which helps us better serve our clients and our communities. Our position as partner to many of the world’s leading businesses, organizations and governments affords us both an extraordinary opportunity and a tremendous responsibility to make a difference. Sustainability is one of our greatest responsibilities, which we embed it into everything we do and for everyone we work with.