Senior Data Engineer

March 26

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Ringier

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Ringier is an innovative, digitalised and diversified Swiss media company operating in Europe and Africa. Its portfolio includes around 140 companies in the print, sports media, digital media, radio, ticketing and entertainment sectors and leading online marketplaces for cars, property and jobs. Founded in 1833 as a publishing house and printing plant, Ringier has invested consistently in digitalisation and global expansion. In 2023, the company’s approximately 6,600 employees generated revenues of 918. 9 million CHF, with 83% of its operating profit coming from digital, making it a leader among European media companies.

Journalism • Entertainment • Media • Marketplaces • Radio

5001 - 10000 employees

Founded 1833

📱 Media

🛍️ eCommerce

📋 Description

• Develop and maintain data architecture, including processes for data transformation, structures, metadata, dependencies, and workload management • Design and implement data integrations, a data quality framework, and enhancements/new features for data warehousing, reporting, visualization, and master data management • Design and implement data architecture to support analytics use cases, and drive internal process improvements through automation, optimization, and infrastructure redesign • Develop, test, and document data solutions, proactively suggesting improvements and staying current with relevant technologies • Analyze stakeholder requirements to implement data system enhancements and ensure solutions align with those requirements • Serve as a subject matter expert, leading the team in developing and maintaining CI/CD processes for data pipelines • Assemble and process complex datasets, including ETL jobs for continuous data flows, ensuring data consistency and managing unit test scope • Develop and maintain automated monitoring solutions, implement reporting and analytics infrastructure, and ensure data quality, governance, and security • Champion data system improvements, manage data set permissions, and research/recommend advancements in data warehousing, reporting, visualization, and master data

🎯 Requirements

• BSc degree in Computer Science/information systems/Engineering or related technical field or equivalent work experience • 7+ years related work experience • 4 years experience in Python • 4 years experience building and optimizing ‘big data’ data pipelines, architectures and data sets • Experience in leading projects i.e. migrations • Experience in leading data teams highly desirable • Proficiency in managing data life cycle • Proficiency in manipulating, processing and architecting large disconnected data sets for analytical requirements • Ability to maintain and optimise processes supporting data transformation, data structures, metadata, dependency and workload management • Good understanding of data management principles - data quality assurance and governance • Strong analytical skills related to working with unstructured datasets • Experience in message queuing, stream processing, and highly scalable ‘big data’ data stores

🏖️ Benefits

• Fully remote! Work from anywhere in the world within a 3 hour SAST timezone • Co-working spaces in Cape Town, Mauritius, Kenya & Nigeria • Cutting-edge development stack is waiting for your code contribution • Opportunity to work with over 80+ highly skilled technical minds • Backing of the international media powerhouse Ringier AG • Access to world-class development resources and shared knowledge • Commitment to future growth prospects of employees, allowing autonomy and flexibility