Data Warehouse Developer/ Data Engineer - - 18680

Ogólne informacje

Stanowisko

Data Warehouse Developer/ Data Engineer

Wymiar czasu pracy

Pełny wymiar czasu pracy

Miasto

Kraków, Rzeszów, Warszawa

Kraj

Polska

Dział

Business Services Center (PL)

Zespół

Information Technology

Obszar zainteresowania

IT - Development, IT - Services

Tryb pracy

Hybrydowy

Opis i wymagania

Who we are looking for

2+ years of hands-on experience in developing, maintaining, and modeling data systems
Analytical thinking, responsibility, and willingness to learn new systems and processes
Knowledge of MS SQL Server 2019/2022 (T-SQL, indexing, optimization, execution plans)
Familiarity with database concepts and technologies, including data warehousing, SSAS, SSIS, SSRS, ETL
Good communication skills and intermediate English (B2 or higher)
Curiosity and desire to learn new skills and expand your horizons
Open to pragmatic use of AI-assisted tools in daily work (e.g. Copilot, ChatGPT)
Collaborates effectively with the team and is open to knowledge sharing and feedback
Familiarity with Azure DevOps or similar environment for collaboration, version control and delivery processes (applied for database projects)

Nice to have:

Experience with MS Azure: Data Factory/Synapse/Data Lake/ Fabric
Familiarity with BI solutions (PowerBI)
Experience with AI tools supporting data warehouse development (e.g. automation, AS-assisted analysis, experimentation with ML-based approaches)

Your future role

Developing, modeling, and documenting specific domains of the information model
Ensuring data quality, performance, and reliability of data warehouse solutions
Testing, reviewing, and ensuring a stable platform for regular 24/7 business operations
Performing routine administration tasks (configuration, implementing changes, supporting users)
Converting architecture designs into working system components
Opportunity to influence technical decisions and data warehouse evolution based on experience level
Participating in a Scrum-based daily solution development cycle within the data warehouse team

What we offer

Stable job in a multinational company based on an employment contract;
Working in a flexible hybrid model - partially from home and the office;
Private medical care program, life, and travel insurance;
Access to various forms of recreational and social activities (MyBenefit, Multisport, bike rental, sports teams);
Onboarding plan from the first day of work and the Buddy Program - support from a dedicated coworker;
Friendly organizational culture (integration events, well-being, and diversity & inclusion programs);
Wide development opportunities (individual career path, training in soft and technical skills, access to modern training platforms, including Udemy for Business, LinkedIn Learning).

Selection process

Apply and create your future with us!

If your resume is of interest to us, the recruitment will consist of several stages:

1. Short online interview / short phone interview with Recruiter.

2. Interview/s with member/s of the team.

You will receive feedback regardless of process result.

About Deloitte

Deloitte is a variety of people, experience, industries and services we deliver in 150 countries of the world. It is an intellectual challenge, a good starting point for your career, and an excellent opportunity for continuous development and gaining valuable life experiences. What you only must do is to take the first step – press the apply button and send us your CV, go through all the stages of the recruitment process and sign a contract with us. Deloitte is simply your best choice.

About the team

You will join a diverse and collaborative data warehouse team that values innovation, knowledge sharing, and continuous improvement. Our team consists of skilled professionals with expertise in data engineering, analytics, and business intelligence. We work closely together in an agile environment, supporting each other and celebrating our successes. We encourage open communication, creative problem-solving, and the exploration of new technologies—including AI and cloud solutions—to deliver impactful data-driven results for the organization

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