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Data Engineer (Azure / Databricks / Spark) Job Opening In Wrocław – Now Hiring Hiberus Poland


Job description

Jesteśmy częścią hiberus - jednej z wiodących firm technologicznych w Hiszpanii z obecnością w ponad 14 krajach, zatrudniającej ponad 3 000 specjalistów i obsługującej Klientów na całym świecie.


Jesteśmy profesjonalistami, którzy posiadają wiele lat doświadczenia w takich obszarach jak: IT, BI, zarządzanie projektami i przedsiębiorstwami.

Cechuje nas wysoka jakość i efektywność realizowanych projektów poprzez właściwe dopasowanie kandydata do profilu poszukiwanego stanowiska i kultury organizacyjnej panującej w firmie.

Obecnie współpracujemy z prestiżowymi instytucjami w obszarach bankowości, finansów, ubezpieczeń, farmacji, ochrony zdrowia i turystyki, zarówno w Polsce, jak i za granicą.


Partnerstwo, rzetelność i transparentność – to wartości, którymi kierujemy się we wszystkich naszych działaniach.

About the company


We are part of hiberus - one of the leading technology companies in Spain with a presence in over 14 countries, employing over 3,000 specialists and serving Clients all over the world.


We are professionals who have many years of experience in areas such as: IT, BI, project and enterprise management.

We are characterized by high quality and efficiency of implemented projects by properly matching the candidate to the profile of the sought position and the organizational culture prevailing in the company.

We currently cooperate with prestigious institutions in the areas of banking, finance, insurance, pharmacy, health care and tourism, both in Poland and abroad.


Partnership, reliability and transparency - these are the values that guide us in all our activities.


Opis stanowiska

 Dołącz do projektu w chmurze Azure jako Data Engineer


Dla jednego z naszych klientów poszukujemy doświadczonego Data Engineera, który weźmie udział w zaawansowanym projekcie opartym na ekosystemie Microsoft Azure.


Twoje główne zadania będą obejmować:
• Projektowanie, budowę i utrzymanie rozwiązań do przetwarzania danych w chmurze Azure
• Przetwarzanie danych z użyciem Apache Spark w Azure Databricks
• Orkiestrację pipeline’ów danych w Azure Data Factory
• Automatyzację wdrożeń CI/CD z wykorzystaniem Azure DevOps, Terraform, YAML, Azure CLI
• Wspieranie zespołów biznesowych w testowaniu i walidacji danych
• Pracę z danymi w czasie rzeczywistym (real-time streaming)

Job description

Join a Cutting-Edge Azure Cloud Project as a Data Engineer


We’re currently looking for an experienced Data Engineer to join an advanced cloud-based data project for one of our key clients.

If you're passionate about data, cloud architecture, and real-time processing — this opportunity is for you!


Your key responsibilities will include:
• Designing, building, and maintaining data processing solutions in Microsoft Azure
• Working with Apache Spark in Azure Databricks
• Orchestrating data workflows using Azure Data Factory
• Automating deployments and configuring environments with Azure DevOps (CI/CD), Terraform, YAML, and Azure CLI
• Supporting business teams through solution testing and data validation
• Handling real-time data processing and streaming

Benefity


  • Karta Multisport

  • Prywatna opieka medyczna

Benefits


  • Multisport card

  • Private medical care

Wymagane doświadczenie

Szukamy osoby, która posiada:
• Min.

5 lat doświadczenia na stanowisku Data Engineera
• Bardzo dobrą znajomość Microsoft Azure:
 – Azure Databricks (Spark)
 – Azure Data Factory
 – Azure Data Storage / Delta Lake
 – Azure DevOps (CI/CD, automatyzacja, zarządzanie uprawnieniami)
• Umiejętność projektowania i wdrażania skalowalnych rozwiązań chmurowych
• Gotowość do wsparcia testów i zapewnienia jakości danych
• Dobrą komunikację i umiejętność pracy zespołowej
• Doświadczenie z obszaru Machine Learning, MLOps, MLflow
• Praktyczną znajomość: Python, Terraform, YAML, Git, Parquet, PowerShell, Azure CLI
• Znajomość dobrych praktyk w zakresie przetwarzania i optymalizacji pipeline’ów danych


Projekt dla kandydata, który nie boi się wyzwań i chce pracować w nowoczesnym środowisku, gdzie dane mają realne znaczenie.

Experience required

We're looking for someone who has:
• At least 5 years of experience as a Data Engineer
• Strong hands-on experience with Microsoft Azure, including:
 – Azure Databricks (Spark)
 – Azure Data Factory
 – Azure Data Storage / Delta Lake
 – Azure DevOps (CI/CD, automation, access management)
• Ability to design and deploy cloud-based solutions for advanced analytics and computation
• Willingness to support testing and QA efforts
• Teamwork skills and strong communication abilities
• Experience in Machine Learning, MLOps, and MLflow
• Practical knowledge of tools and technologies such as: Python, Terraform, YAML, Git, Parquet, PowerShell, Azure CLI
• Familiarity with best practices in data processing and pipeline optimization


💡 This is a perfect role for someone who enjoys challenges and wants to work in a modern, data-driven environment where your work truly makes an impact.

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Wrocław, Poland, highlighting market share and opportunities for professionals in Data Engineer roles.

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Are You Looking for Data Engineer (Azure / Databricks / Spark) Job?

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Hiberus Poland adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Poland laws and regulations

What Is the Average Salary Range for Data Engineer (Azure / Databricks / Spark) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Wrocław. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Data Engineer (Azure / Databricks / Spark)?

Key qualifications for Data Engineer (Azure / Databricks / Spark) typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Data Engineer (Azure / Databricks / Spark) Job Success

Hiberus Poland interview tips for Data Engineer (Azure / Databricks / Spark)

Here are some tips to help you prepare for and ace your Data Engineer (Azure / Databricks / Spark) job interview:

Before the Interview:

Research: Learn about the Hiberus Poland's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Final Thought:

To prepare for your Data Engineer (Azure / Databricks / Spark) interview at Hiberus Poland, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Hiberus Poland's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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