🧠 Tech Level: Senior

🗣️ Language Proficiency: Upper-Intermediate

👥 FTE: 1

🧾 Employment type: Full time

🌍 Candidate Location: Poland

🕐 Working Time Zone: CET

🚀 Start: 2025-12-22

🧭 Planned Work Duration: 12+ months

 👥 Customer Description:

A leading global consulting client working with major organizations worldwide across various industries.

The client provides a broad range of services and supports enterprise-scale digital and analytical transformations.

 🧩 Project Description:

You will work with an internal team focused on GenAI-related initiatives.

The team is distributed across multiple global locations.

⚙️ Project Phase:

ongoing

🤝 Soft Skills:

• Strong self-management and ability to work independently

• Proactive, ownership-driven mindset

• Effective and clear communication in distributed teams

• Collaborative approach and openness to feedback

• Strong problem-solving abilities in ambiguous contexts

• High attention to detail and code quality

• Adaptability to shifting priorities and new technologies

💡 Hard Skills / Must Have:

• Experience with cloud infrastructure such as AWS

• Experience with container technologies like Docker / Kubernetes

• Experience building data pipelines and workflows, including exception handling

• Experience working with large datasets in CSV, JSON, Avro, Parquet formats

• Hands-on coding and application development experience with Python

• Experience with SQL and NoSQL databases, ETL tools, and BI platforms (Tableau, Power BI

• Solid understanding of REST APIs, data modeling, warehousing, lakes, and big-data concepts

• Understanding of SDLC and tools such as JIRA, Git-Hub

• Bachelor’s degree in Engineering, Computer Science, or related field

• 5+ years of experience in BI, application development, database development, ETL and/or data analysis with strong SQL knowledge

📌 Responsibilities and Tasks:

• Develop and maintain data pipelines, ingestion, transformation, and integration processes

• Work on visualizing and sharing data output to support analytical insights

• Transform raw data into accurate and structured data models or marts

• Perform ad-hoc and advanced analytics tasks, including novel data exploration

• Collaborate with product and engineering teams on requirements and asset definitions within an agile framework

• Drive innovation and contribute to impactful AI solutions within the organization

🧪 Technology Stack:

Python, SQL, ETL tools, BI tools


📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!