Cloud Data Engineer @ VML Enterprise Solutions in VML Enterprise Solutions

Who We Are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. The opportunity: We are investing massively in developing next-generation AI tools for multimodal datasetsand a wide range of applications. We are building large scale, enterprise grade solutionsand serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment thatnot only fosters innovation but also personal and professional growth. You will be at theforefront of AI, leveraging multimodal datasets to build groundbreaking solutions over amulti-year roadmap. Your contributions will directly shape cutting-edge AI products andservices that make a tangible impact for FTSE 100 clients. We are hiring across all experience levels in data science, from entry-level to seasonedprofessionals, and offer competitive salaries commensurate with experience and skills. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. What we can offer you: Salary depending on presented skills: 13 000 - 17 000 PLN (B2B contract) Office and online integration events and team building activities Hybrid work style (you can work from home, from our offices, or mix your work plan) and flexible working hours Internal knowledge sharing and team initiatives (hackathons, lightning talks, mentoring, team and company-wide retreats) Support from your first days at VML - a designated mentor who will support you through your whole career at VML Work equipment tailored to your needs with delivery to your door What we want from you: Proficiency with the Python and SQL programming languages. Hands-on experience with cloud platforms like AWS, GCP, or Azure, and familiaritywith big data technologies such as Hadoop or Spark. Experience working with relational databases and NoSQL databases. Strong knowledge of data structures, data modeling, and database schema design. Experience in supporting data science workloads and working with both structuredand unstructured data. Familiarity with containerization technologies, such as Docker or Kubernetes. Experience with data visualization tools, such as Tableau or Power BI is a plus. Who We Are: At VML, we are a beacon of innovation and growth in an ever-evolving world. Our heritage is built upon a century of combined expertise, where creativity meets technology, and diverse perspectives ignite inspiration. With the merger of VMLY&R and Wunderman Thompson, we have forged a new path as a growth partner that is part creative agency, part consultancy, and part technology powerhouse. Our global family now encompasses over 30,000 employees across 150+ offices in 64 markets, each contributing to a culture that values connection, belonging, and the power of differences. Our expertise spans the entire customer journey, offering deep insights in communications, commerce, consultancy, CRM, CX, data, production, and technology. We deliver end-to-end solutions that result in revolutionary work. The opportunity: We are investing massively in developing next-generation AI tools for multimodal datasetsand a wide range of applications. We are building large scale, enterprise grade solutionsand serving these innovations to our clients and WPP agency partners. As a member of our team, you will work alongside world-class talent in an environment thatnot only fosters innovation but also personal and professional growth. You will be at theforefront of AI, leveraging multimodal datasets to build groundbreaking solutions over amulti-year roadmap. Your contributions will directly shape cutting-edge AI products andservices that make a tangible impact for FTSE 100 clients. We are hiring across all experience levels in data science, from entry-level to seasonedprofessionals, and offer competitive salaries commensurate with experience and skills. It is a great time to be joining as the industry transforms itself in what we believe is a generational moment for technology and AI. What we can offer you: Salary depending on presented skills: 13 000 - 17 000 PLN (B2B contract) Office and online integration events and team building activities Hybrid work style (you can work from home, from our offices, or mix your work plan) and flexible working hours Internal knowledge sharing and team initiatives (hackathons, lightning talks, mentoring, team and company-wide retreats) Support from your first days at VML - a designated mentor who will support you through your whole career at VML Work equipment tailored to your needs with delivery to your door ,[Collaborate closely with data scientists, architects, and other stakeholders to understand and implement business requirements., Provide data engineering support for AI model development and deployment, ensuring data scientists have access to the data they need in the format they need it., Implement and optimize data transformations and ETL/ELT processes, using appropriate data engineering tools., Work with a variety of databases and data warehousing solutions to store and retrieve data efficiently., Implement monitoring, troubleshooting, and maintenance procedures for data pipelines to ensure the high quality of data and optimize performance., Participate in the creation and ongoing maintenance of documentation, including data dictionaries, data catalogs, data flow diagrams, and process documentation.] Requirements: Python, SQL, AWS, GCP, Azure, Hadoop, Spark, NoSQL, Docker, Kubernetes, Tableau, Power BI Additionally: Knowledge sharing, Integration events, MyBenefit, Freecoffee, Gym, Canteen, Bike parking, Playroom, Shower, Free snacks, Free beverages, Free parking, Modern office, No dress code.