CONSULTANT - DATA ENGINEERING & AI DATA PRODUCTS

As a Consultant for Data Engineering & AI Data Products, you will support our team in developing modern data solutions, data products, AI-ready data platforms, and data-based AI use cases to optimize our clients' data utilization and sustainably strengthen data-driven decision-making.

Responsibilities

• Support in the design and implementation of robust and scalable data products, data architectures, and AI-ready data platforms.
• Further development and maintenance of data transformation and integration pipelines, including ETL processes from various sources using, for example, SQL, Python, dbt, Snowflake, Databricks, as well as cloud platforms such as AWS, Azure, or Google Cloud.
• Provision and structuring of high-quality data for analytics, machine learning, and GenAI use cases.
• Gathering business and technical requirements from our clients and translating them into effective data engineering solutions.
• Assume responsibility for complex data projects, manage system integration, and define strategic guidelines based on data analysis.
• Support in areas such as Data Governance, data quality, Data Product Operating Models, and the production-ready provision of data for AI use cases.

Benefits

• MEDICAL CARE
• BENEFITS PLATFORM
• TRAINING OPPORTUNITIES
• LANGUAGE COURSES PLATFORM
• COMPANY EVENTS
• Motivizer Benefits Platform to choose and manage all your benefits in one place. You receive a budget (550 PLN monthly). You can choose medical care package, meal tickets, sports cards (we have Multisport and on preferential terms, we have membership cards to one of the most popular Gyms), cinema tickets, shop vouchers, discounts and many more.
• Language Courses – you'll have access to a multi-language learning platform enabling you to practice your language skills and learn new ones!
• Regular and systematic further training opportunities - both internallyand from external providers. We support your ongoing learning and development.
• Cooperation within an internal community is our everyday reality. We have networking events, coding challenges, and company parties for different occasions.

Qualifications

• Bachelor’s or master’s degree in Computer Science, Engineering, IT, or related field.
• Initial project experience and interest in data engineering, e.g., with data products, data modeling, AI, and/or data warehousing systems.
• Experience with at least one programming language—ideally Python—as well as SQL/NoSQL and a data engineering technology or platform such as dbt, Snowflake, Databricks, etc.
• Experience with Docker, cloud technologies, DevOps practices, and CI/CD processes is an advantage.
• In-depth understanding and specific knowledge of data products, data modeling, data warehousing, data engineering, and modern data & AI architectures. Experience with Dimensional & Data Vault modeling is an advantage.
• The ideal candidate is a strong, communicative team player who thinks in terms of solutions and actively offers them in a consulting capacity.
• A passion for learning and exploring new technologies is essential.
• Fluent communication skills in English and Polish.