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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
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
· Develop the architecture for the data pipelines and implement it using Python · Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines · Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives · Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.) · Work closely with technical leads, PM, BA, testing and reporting team on data requirements · Contribute to agile ceremonies, size tasks and deliverables.
Qualifications
· 5+ years of experience designing and developing data pipelines and managing data infrastructure · Proficiency in Python (pandas, PySpark) · Background and experience with tools and technologies like Databricks, Data Lake Storage, Snowflake, Synapse, Redshift, Apache Spark, Kimball Data Mart, Azure Key Vault · Experience with various Azure services for data processing and storage, data integration and analytics with Azure Synapse Workspaces · Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes · Knowledge of one or more RDBMS (SQL Server, Oracle, DB2) · Experience with reporting and dashboard creation with Power BI and similar tools will be a plus · Open to working in an agile environment as part of a scrum team · Good communication and mentoring skills.
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.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.
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
Our data team has expertise across engineering, analysis, architecture, modeling, machine learning, artificial intelligence, and data science. This discipline is responsible for transforming raw data into actionable insights, building robust data infrastructures, and enabling data-driven decision-making and innovation through advanced analytics and predictive modeling.
Responsibilities:
· Develop the architecture for the data pipelines and implement it using Python · Actively involved in onboarding data sources through data pipelines - ingestion, transformations, data storing, and orchestration of the pipelines · Identify, document, and develop measures to visualize and record source data and data pipeline quality objectives · Experience with data migration projects between systems hosted in different hosting environments (on-premises, AWS, Azure, etc.) · Work closely with technical leads, PM, BA, testing and reporting team on data requirements · Contribute to agile ceremonies, size tasks and deliverables.
Qualifications
· 5+ years of experience designing and developing data pipelines and managing data infrastructure · Proficiency in Python (pandas, PySpark) · Background and experience with tools and technologies like Databricks, Data Lake Storage, Snowflake, Synapse, Redshift, Apache Spark, Kimball Data Mart, Azure Key Vault · Experience with various Azure services for data processing and storage, data integration and analytics with Azure Synapse Workspaces · Understanding of Extract Transform Load (ETL) processes as well as platform monitoring and CI/CD processes · Knowledge of one or more RDBMS (SQL Server, Oracle, DB2) · Experience with reporting and dashboard creation with Power BI and similar tools will be a plus · Open to working in an agile environment as part of a scrum team · Good communication and mentoring skills.
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.
Our diversity makes us stronger - it drives meaningful change and enables us to build innovative technology solutions. We are committed to creating an inclusive community where all of us, regardless of background, identity, or personal characteristics, feels valued, respected, and free from discrimination. As an equal opportunity employer, we welcome applications from all individuals and base hiring decisions on merit, skills, qualifications, and potential.