
5001 - 10000 employees
Founded 1997
đ€ B2B
âïž SaaS
B2B âą Marketing âą SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
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5001 - 10000 employees
Founded 1997
đ€ B2B
âïž SaaS
B2B âą Marketing âą SaaS
Valtech is a global digital agency focusing on experience innovation. They strive to transform businesses through a combination of technology, marketing, and data strategies. Valtech helps companies elevate their digital presence and drive commerce strategies, enhance enterprise digital transformations, and unlock marketing and performance potential. They also utilize data and AI to help organizations harness the power of information. With offices around the world, Valtech partners with businesses to shape their digital futures, offering a range of services and insights designed to enhance customer experiences.
âą Design and implement scalable data platforms and pipelines across cloud environments (Azure/Fabric, AWS, GCP, Databricks, Snowflake) âą Developing reliable batch, streaming, and near-real-time pipelines âą Ensure adherence to best practices in data governance, lineage, quality, and access control (RBAC/ABAC) âą Establish strong data observability, including monitoring of data freshness and pipeline reliability âą Work closely with data scientists, ML engineers, analysts, and business stakeholders to translate requirements into robust data solutions
âą Strong hands-on experience with Apache Spark and Delta Lake âą Strong programming skills in Python and SQL âą Experience building batch and streaming data pipelines âą Understanding of data modeling, data quality, and governance principles âą Experience with one or more major cloud platforms, with preference for Microsoft Azure / Fabric âą Familiarity with modern data platforms such as Databricks and Snowflake âą Experience with lakehouse architectures and distributed data systems âą Collaborative approach to working in cross-functional teams
âą 24 working days of paid vacation âą National holidays covered âą Sick leave (up to 20/year) âą Unpaid leave (up to 20/year) âą Medical insurance âą Multisport card OR Multikafeteria âą Maternity & paternity leave support âą Internal workshops & learning initiatives âą Professional certifications reimbursement âą Participation in professional local & global communities âą Growth Framework to manage expectations and define the steps to move towards the selected career âą Mentoring program with the ability to become a mentor or a mentee to grow to a higher position âą Flexibility, with remote and hybrid work options (country-dependent) âą Career advancement, with international mobility and professional development programs âą Learning and development, with access to cutting-edge tools, training and industry experts
Apply Nowđ 3 days ago
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đ”đ± Poland â Remote
đ° Private Equity Round on 2020-12
â° Full Time
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