Company Description
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
From prototype to real-world impact - be part of a global shift by doing work that matters.
Job Description
- Work together with data scientists and analysts to understand the needs for data and create effective data pipelines
- Solution design, implement, and maintain data pipelines for data ingestion, processing, and transformation using could services and other technologies
- Create and maintain data solutions IN Azure, using any of the following: Data Factory, Synapse, Databricks/Spark, Polars/Pandas, Fabric
- Implementing data validation and cleansing procedures will ensure the quality, integrity, and dependability of the data.
- Improve the scalability, efficiency, and cost-effectiveness of data pipelines.
- Monitoring and resolving data pipeline problems, ensuring consistency and availability of the data.
Qualifications
- Proficient in Python and SQL
- Knowledge of good data design principles (concepts such as Kimball and Star Schema), data warehousing concepts and data modelling.
- Strong experience with Relational and ideally NoSQL databases.
- Strong understanding of ETL/ELT processes.
- Exposure to data monitoring and observability tools.
- Relevant experience with Event-Driven Architecture
- Good understanding of Agile ways of working
Additional Information
Discover some of the global benefits that empower our people to become the best version of themselves:
- Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus;
- Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership;
- Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences;
- Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme;
- Health: Global internal wellbeing programme, access to wellbeing apps;
- Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations.
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