Calybre

👥 51-100Data ManagementData IntegrationInformation TechnologyProfessional Services💼 Private Company
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Calybre is a global data consulting firm specializing in helping mid-sized to large businesses build and enhance their data capabilities. We offer technology-agnostic solutions, focusing on data integration and management to unlock the full value of our clients' data assets. Our team of experienced data professionals leverages modern data tools and techniques to deliver impactful results. We pride ourselves on a collaborative and supportive work environment, emphasizing continuous learning and growth. Our remote-first culture allows us to attract top talent worldwide and provides flexibility for our employees. We are committed to building a diverse and inclusive team, fostering a culture that values innovation, integrity, and client success. We use a variety of technologies depending on client needs, but routinely utilize platforms in the CrUX Top 50m and CrUX Dataset for data analysis and improvement. While still a relatively young company, founded in 2022, Calybre has rapidly expanded its global reach, working with clients across multiple continents. We maintain a strong focus on data engineering and data analytics, including roles such as Data Engineer and Data Analyst with career tracks from Associate to Specialist Senior Consultant. We offer structured upskilling programs for entry-level consultants, providing opportunities for professional advancement. Our team boasts experienced professionals with diverse backgrounds in information systems, mathematics, statistics, engineering, and business analytics. We're always looking for passionate and driven individuals to join us as we continue to grow and expand our impact on the data landscape. We're currently hiring for several remote positions in South Africa.

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📍 South Africa

🧭 Full-Time

🔍 Fintech

  • 2+ years of proven leadership in mentoring teams and driving performance.
  • 5+ years in data engineering, building cloud-native data platforms.
  • Experience with designing scalable pipelines using Apache Spark and Databricks.
  • Proficiency in orchestrating data workflows with tools like Airflow and Azure Data Factory.
  • Experience with streaming platforms like Kafka and Azure Event Hubs.
  • Strong understanding of data security, governance, and architecture.
  • Proficiency in Linux and Python for data automation.
  • Experience implementing DevOps, DataOps, and CI/CD pipelines.
  • Database administration skills, particularly in Microsoft or Azure SQL.
  • 3-5 years of experience with Microsoft Azure.
  • 2+ years with BI and visualization tools like Power BI.
  • Drive the Data Engineering Team, guiding projects while being hands-on.
  • Build a modern Data Platform with the latest architecture and best practices.
  • Mentor and inspire team members to grow into experts.
  • Code and solve problems as the leading engineer.
  • Ensure delivery of valuable data products and reports.
  • Collaborate with stakeholders to integrate the data platform with other products.

LeadershipPythonSQLApache AirflowKafkaMicrosoft AzureMicrosoft SQL ServerData engineeringCI/CDLinuxDevOps

Posted 3 months ago
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📍 South Africa

🧭 Full-Time

🔍 Data Analytics and Engineering

  • Completed degree in Information Systems, Mathematics and/or Statistics, Engineering, Business Analytics, or demonstrate analytical and mathematical aptitude.
  • Relevant work experience.
  • Work alongside a team of aspiring and inspiring data professionals.
  • Engage in data analysis, engineering, or scientific tasks.

Data AnalysisData engineeringCommunication SkillsAnalytical SkillsCollaborationMicrosoft Excel

Posted 4 months ago
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📍 South Africa

🧭 Full-Time

🔍 Data industry

  • A completed or in-progress degree in Information Systems, Mathematics/Statistics, Engineering, Business Analytics, or demonstrable analytical and mathematical aptitude.
  • Some work experience, which can include any role, such as hospitality or tutoring.
Work alongside experienced data professionals to develop skills in data analysis, engineering, or science.

Data AnalysisAnalytical Skills

Posted 4 months ago
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