Cześć Polska!

At least 5y of experience as a Software Tester or similar role. Good grasp of ETL/DWH and BI reports concepts and backend testing.

10+ years of professional experience in the Data & Analytics area. 2+ years of experience in the Architect or Senior Consultant role with a strong focus on AWS data solutions.

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

Experience working with Linux and Windows platforms. Good understanding of cloud computing concepts (IaaS, PaaS, SaaS). Working knowledge of cloud services administration, preferably Azure (like: Storage, Azure SQL, Azure ADF, Kubernetes).

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

At least 4 years of experience in Data Science or AI Engineering. At least 1 year of experience in relevant technology trained.

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.

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 GCP Vertex.AI.

At least 4+ years of professional experience. Strong Python coding skills, including using ML libraries. Other programming languages knowledge like R, SQL is a plus.

Familiarity with theory behind various machine learning concept. Experience with Machine Learning (ML), especially in Computer Vision (CV) projects.

Familiarity with theory behind various machine learning concepts. Commercial experience with various Machine Learning (ML) models (e.g. decision trees, ensemble-based tree models, linear regression, etc.).

Proficiency in test automation tools and frameworks (e.g. Selenium, Robot Framework, Cypress, Playwright, Appium, JUnit, TestNG). Experience with scripting languages such as Java, Python, or JavaScript.

Strong understanding of software testing principles and methodologies. Experience with test automation tools and frameworks such as Jira, TestLink, Azure DevOps Test Plans, Postman, SoapUI etc. Effective communication skills to collaborate with cross-functional teams and articulate testing results and recommendations.

At least 3 years of project experience programming in Python. Experience programming in one of additional languages: Scala/Java/Rust/Go.

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.

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

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.

Must Have: SQL.Good command of English – both spoken and written skills on at least B2 level.

Proficiency in Python server-side programming. Good knowledge of FastApi, Flask, or Django. Understanding of TDD and PyTest.

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.

Strong proficiency in Python server-side asynchronous programming. At least 5 years of experience in the IT industry, and at least one previous Data Lake implementation project of at least 6 months duration. Experience with Azure Data Factory, Databricks, and dbx.

Education: A bachelor’s degree in IT/finance field. A related degree (e.g., business) may also be considered. Experience: At least 6 years of experience in IT industry, including min. 4 years in project management and client-facing roles. Communication: Fluency in English, excellent communication skills to interact with clients, team members, and stakeholders.

Design, develop, and maintain business intelligence reports and dashboards using Power BI. Ensure these reports are high performing and user-friendly.

Build end-to-end BI solutions in Domo, starting from data ingestion, via transformation to reporting.Creating and optimizing SQL scripts and stored procedures.

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

At least 7 years of experience with SAP BW on HANA / SAP BW4HANA / ABAP (Focus on data modeling of complex scenarios, including mixed scenarios of SAP BW and HANA, performance optimization). At least 4 years of experience with SAP HANA (native development, Calculation Views, SQL scripts, AMDP).

At least 1 years of experience with SAP BW on HANA / SAP BW4HANA / ABAP (work as a developer). Experience with SAP ECC modules, especially as sources for SAP BW. Very good communication skills.

10+ years of professional experience in the Data & Analytics area. 2+ years of experience in the Architect or Senior Consultant role with a strong focus on AWS data solutions. Good understanding of business processes and the ability to drive automation through effective management.

We are seeking a highly skilled and experienced Cloud Data Engineer proficient in Microsoft Azure and/or other cloud platform – AWS preferably as well as experience in modern data transformation tools like dbt and Databrick to join our dynamic team.

Minimum of 5 years of experience in data engineering or a related field. Strong technical skills in data engineering, including proficiency in programming languages such as Python, SQL, Pyspark.

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.

10+ years of professional experience in the Data & Analytics area. Good understanding of business processes and the ability to drive automation through effective management.

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.

At least 7 years of experience with SAP modules such SAP BW, SAP HANA, SAP Datasphere, SAP SAC. Worked with SAP Datasphere and/or Data Warehouse Cloud (experience in the implementation). Worked with SAP Analytics Cloud (experience in the stories creation).

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.