Azure Data Engineer with Databricks (AI&Data)

Miejsce pracy: Warszawa

Technologies we use

Expected

Databricks
Azure DevOps
SQL
Python
AWS

Optional

Tableau
Microsoft Power BI

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

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.

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

Online application
Phone interview
Online tests (optional step)
Technical skills check (optional step)
Interview with your future Team Leader
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

W dokumentach aplikacyjnych prosimy zamieścić oświadczenie o następującej treści: „Wyrażam zgodę na przetwarzanie moich danych osobowych przez Accenture sp. z o.o. z siedzibą w Warszawie (00-121), przy ul. Siennej 39, NIP 526-00-15-900 (Administrator danych), zgodnie z ustawą z dnia 10 maja 2018 r. o ochronie danych osobowych (t.j. Dz. U. z 2018 r., poz. 1000) oraz Rozporządzeniem Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE, w celu niezbędnym do realizacji procesu postępowania rekrutacyjnego przez Accenture. Jednocześnie oświadczam, że przekazuje moje dane osobowe całkowicie dobrowolnie. Oświadczam ponadto, że zostałem/łam poinformowany/a o przysługującym mi prawie do cofnięcia zgody lub zgłoszenia sprzeciwu wobec przetwarzania danych, żądania do nich dostępu, sprostowania, usunięcia, ograniczenia przetwarzania oraz ich przeniesienia, w każdym czasie. Każdemu przysługuje prawo skargi do organu nadzorczego ds. ochrony danych. Wyrażam również zgodę na przetwarzanie moich danych osobowych w celu realizacji przyszłych postępowań rekrutacyjnych przez Accenture sp. z o.o. z siedzibą w Warszawie (00-121), przy ul. Siennej 39, NIP 526-00-15-900 (Administrator danych), zgodnie z ustawą z dnia 10 maja 2018 r. o ochronie danych osobowych (t.j. Dz. U. z 2018 r., poz. 1000) oraz Rozporządzeniem Parlamentu Europejskiego i Rady (UE) 2016/679 z dnia 27 kwietnia 2016 r. w sprawie ochrony osób fizycznych w związku z przetwarzaniem danych osobowych i w sprawie swobodnego przepływu takich danych oraz uchylenia dyrektywy 95/46/WE. Jednocześnie oświadczam, że przekazuje moje dane osobowe całkowicie dobrowolnie. Oświadczam ponadto, że zostałem/łam poinformowany/a o przysługującym mi prawie do cofnięcia zgody lub zgłoszenia sprzeciwu wobec przetwarzania danych, żądania do nich dostępu, sprostowania, usunięcia, ograniczenia przetwarzania oraz ich przeniesienia, w każdym czasie. Każdemu przysługuje prawo skargi do organu nadzorczego ds. ochrony danych”. When applying please enclose the below statements: I hereby consent to the processing of my personal data by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018 on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive), necessary to carry out the recruitment process by Accenture . At the same time, I declare that I provide my personal data completely voluntary. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority. I hereby also consent to the processing of my personal data for future recruitment proceedings held by Accenture sp. z o.o. with its registered seat in Warsaw (00-121), at ul. Sienna 39, NIP 526-00-15-900 (Data Controller), in accordance with the Act of May 10, 2018 on the Protection of Personal Data (Journal of Laws of 2018, item 1000) and the Regulation on the protection of natural persons with regard to the processing of personal data and on the free movement of such data, and repealing Directive 95/46/EC (Data Protection Directive). At the same time, I declare that I provide my personal data completely voluntary. I also declare that I have been informed about my right to withdraw my consent or object to processing of data, request access to them, rectification, deletion, limitation of processing and their transfer, at any time and the right to lodge a complaint to the data protection supervisory authority. Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women.

Azure Data Engineer with Databricks (AI&Data)

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