Cześć Polska!

Developing Java data-oriented cloud-based enterprise solutions and related frameworks/libraries. Developing application APIs.

Strong understanding of data modeling concepts and techniques, such as entity-relationship modeling, normalization, and dimensional modeling. Candidate should be able to design and implement data structures that are optimized for storage and retrieval.

Data Engineer with GCP

Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, AI architectures. Practical experience in MLOps tools like MLFlow, Azure ML, GCP Vertex, AWS Sagemaker.

Minimum 4 years of hands-on experience in Tableau or PBI development, dashboarding and data modeling and visualization techniques. Experience in application designing, architecting, development and deployment using Tableau or PBI. Efficiency in front-end development and knowing visualization best practices is a must.

Master's in Computer Science, Engineering or a related field. Prior experience as Project Manager or in similar role. Very good familiarity with project management software tools, methodologies, frameworks and best practices.

Acting as a Solution Architect for the Data & Analytics Programs and Projects.

At least 10+ Years of experience ( Power BI & Tableau ) with strong exposure to GCP & SAP. Strong technical expertise and Development Background. Experience in GCP Skills ( Talend, Big Query ) is a Plus.

Proficiency in Java server-side programming. Experience with database systems (e.g., MySQL, PostgreSQL, MongoDB). Proven experience in back-end development and building scalable web applications. Familiarity with cloud platforms (e.g., AWS, Azure, GCP) is a plus.

6+ years of experience in IT. 2+ years of experience on similar position. Higher degree in Computer Science, Engineering or a related field. Prior experience as Solutions Architect in GCP environment.

Formulate and communicate the organization's data strategy, including data quality standards, data flow, and data security measures.

6+ years of experience in IT. 2+ years of experience on similar position. Higher degree in Computer Science, Engineering or a related field. Prior experience as Solutions Architect in cloud environment.

Formulate and communicate the organization's data strategy, including data quality standards, data flow, and data security measures. Provides a standard common business vocabulary, expresses strategic data requirements, outlines high level integrated designs to meet these requirements.

Proven experience in Azure cloud-based infrastructure, Databricks and one of SQL implementation (e.g., Oracle, T-SQL, MySQL, etc.). Very good level of communication including ability to convey information clearly and specifically toco-workers and business stakeholders.

2-5 years of experience in data analysis or business intelligence, with a significant focus on Power BI development.Proficient in Power BI, including DAX, Power Query, and data modeling. Strong understanding of SQL and experience with databases (SQL Server). Knowledge of data warehouse concepts and ETL processes.

Bachelor's or Master's degree in Computer Science, AI, Machine Learning, or related field. Strong background in AI and Machine Learning, with hands-on experience in Natural Language Processing. Proficiency in programming languages such as Python, Java, or R.

2+ years of professional experience, including 1+ of DS experience. Strong Python coding skills, including using Data Science and Data Engineering libraries. Experience with Data Analysis, Data Mining, Statistics or Optimization methods.Understanding and experience in applying Data Science/Machine Learning methods to Supply Chain (Manufacturing, Transportation, Warehousing, Inventory or Sustainability).

3+ years of relevant professional experience, including 2+ of DS/Operations. Research experience. Experience in optimization methodologies, including use of various optimization libraries (e.g. CPLEX, Gurobi, ortools, etc.). Strong Python coding skills (including Object oriented programming concepts), including using ML libraries and basic working knowledge of SQL.

3+ years of experience as UX/UI Designer and using best practices to design solutions. Ability to translate concepts into user flows, mockups and prototypes that lead to intuitive user experience.  Leverage design techniques and tools, such as rapid sketches, wireframes, and prototypes, to iterate on designs quickly. 

At least 8 years of experience in Python backend development. Strong proficiency in BigQuery and SQL. Experience in designing and implementing scalable and performant backend applications.

At least 4 years of experience in Python backend development. Proficiency in FastApi, Flask, Alembic, SQLModel, PostgreSQL. Experience with Cloud Function, CloudSQL, Firestore, PubSub, Redis.

At least 6 years of experience as a Data Engineer, including min. 4 years of experience working with GCP cloud-based infrastructure & systems and min. 2 years in Technical Leading role. Deep knowledge of Google Cloud Platform and cloud computing services.

At least 5 years of expierience in a similar position. Former experience in developing middleware and microservices. Solid experience with NodeJS.

Establish and oversee global data governance policies and ensure alignment and consistencyEstablish and lead an enterprise-wide Data Governance Organization comprised of functional leaders, data owners, and data stewards from across the business to support the delivery of enterprise data assets to ensure timeliness, quality, and fitness for business purposes

Acting as a technical lead on data visualization projects Designing and implementing complex solutions leveraging Microsoft Power BI

At least 8+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.). At least 8+ years of experience in production-ready ML-related code development.