Azure Data Engineer with Databricks (AI&Data)
Quick Summary
Hands‑on experience with implementing solutions with data lakes and pipelines (Databricks, Azure Data Factory).
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.
At the AI&Data we work locally and globally with over 200 Poland‑based specialists. Our expertise spans data architecture and sectoral specialization. We collaborate with technology partners such as Microsoft, AWS, Google, Oracle, and Snowflake to implement cutting‑edge solutions. We provide comprehensive support from strategy definition to solution implementation and development, covering all aspects of Data & Analytics.
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
Thrive on continuous advancement by engaging in diverse, complex solutions and data architecture challenges.
Expand your skill set through collaboration with experts and exposure to modern concepts and architectures (e.g., data mesh, data virtualization, agentic architectures and more).
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).
Nice to Have
~1 min readKnowledge 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.
Requirements
~1 min readA 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.
Accenture does not discriminate against employment candidates based on race, religion, color, sex, age, disability, national origin, political beliefs, trade union membership, ethnicity, denomination, sexual orientation, or any other basis impermissible under Polish law. Inclusion and diversity are fundamental to our culture and core values. Sustainability is one of our greatest responsibilities, and we embed it into everything we do and for everyone we work with.
Visit us at www.accenture.com
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
Location & Eligibility
Listing Details
- First seen
- September 30, 2026
- Last seen
- September 30, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 55%
- Scored at
- September 30, 2026
Signal breakdown
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