Azure Data Engineer with Databricks (AI&Data)
Offer summary

(Summary generated by AI based on the full job description)

The project focuses on large-scale data processing on Azure platform using Databricks, Azure Data Factory and PySpark, SQL. Responsibilities include building and maintaining scalable data pipelines, integrating diverse sources and collaborating with technical and business teams. Key skills involve data Lakehouse architecture, ELT/ETL, CI/CD, and DevOps. Clear communication, project documentation, and cloud cost optimization are emphasized. Offered benefits cover professional development support, comprehensive training, healthcare, and a benefits package.

Azure Data Engineer with Databricks (AI&Data)

Company: Accenture Technology

from: 10 September 2026
to: 25 October 2026
salary not specifiedcontract of employment (full-time)
Offer parameters
level:mid
working mode:hybrid
Warszawa, Masovian
Warszawa, Masovian

Requirements

Expected technologies

Databricks
Azure DevOps
SQL
Python
AWS

Optional technologies

Tableau
Microsoft Power BI

Our requirements

  • Hands‑on experience with implementing solutions with data lakes and pipelines (Databricks, Azure Data Factory).
  • Proven experience in designing and implementing solutions in Azure cloud (knowledge of AWS, GCP will be an additional advantage).
  • Proficiency in SQL, PySpark, data modeling (3NF, star/snowflake schemas) and ELT/ETL design patterns (including Azure Data Factory).
  • Experience with Python or similar scripting languages for data transformation, orchestration, and automation.
  • Familiarity with advanced Databricks features (Unity Catalog, MLflow, Jobs & Pipelines).
  • Understanding of cloud data architecture principles including data Lakehouse concepts, Medallion architecture, API integration, and event‑driven architecture.
  • Experience with CI/CD and DevOps practices for data workflows (Git, Azure DevOps) and analytics integration (e.g., Power BI).
  • Excellent communication and client‑facing skills with the ability to explain technical concepts clearly.
  • Strong collaboration skills across multidisciplinary teams.

Optional

  • Knowledge of modern data stack tools (e.g., dbt, Power BI, Tableau, Looker).
  • Experience with infrastructure‑as‑code tools (e.g., Databricks Asset Bundles, Terraform, ARM templates).
  • Experience with cost optimization and FinOps principles for cloud data solutions.
  • Familiarity with machine learning or GenAI integration — operationalizing AI/ML models or leveraging LLMs within Databricks/Azure.
  • Databricks Associate or Professional certifications.
  • Microsoft Certifications in the areas of Microsoft Fabric and Azure.

Your responsibilities

  • Develop and implement scalable data processing solutions on Azure, transforming and cleaning large structured and unstructured datasets efficiently.
  • Design, build, and maintain robust data pipelines integrating data from diverse sources (databases, APIs, streaming platforms).
  • Collaborate with cross‑functional teams including data engineers, data scientists, and cloud architects to deliver end‑to‑end data platform solutions.
  • Engage at all critical stages of project development with business analysts, source system experts, data architects, engineers, and product owners.
  • Clearly communicate and document technical work, factoring in performance and cost considerations in all design decisions
Company

What we offer

  • A permanent employment contract.
  • Individual support of a People Lead and a defined path for professional development, with the possibility of coaching sessions.
  • A wide training package (soft, technical, language training; access to e‑learning platforms; Gallup test; GenAI training; possibility of co‑financing certifications).
  • Employee Assistance Program – legal, financial, and psychological consultations.
  • Eligibility for the Employee Share Purchase Plan and quarterly dividends if owning company shares.
  • Paid employee referral program.
  • Private medical care and life insurance.
  • Access to the Worksmile platform, including Multisport and a broad portfolio of benefits.

Recruitment stages

  • 1.
    Online application
  • 2.
    Phone interview
  • 3.
    Online tests (optional step)
  • 4.
    Technical skills check (optional step)
  • 5.
    Interview with your future Team Leader
  • 6.
    Welcome to Accenture!

Accenture Technology

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 743,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at www.accenture.com.

This is how we work

Azure Data Engineer with Databricks (AI&Data)
I apply to:
Accenture Technology
Warszawa, Masovian
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