Data Engineer

Job Description

Please note that we will only be able to accept candidates who have the appropriate rights and documentation for employment in India. Who we are. Axi is a leading global provider of margin and deliverable Foreign Exchange, Contracts for Difference (CFDs), and Financial Spread betting. Our business has evolved into a world-class, multifaceted brokerage with offices in six regions. With heavy investment in the latest trading technology, Axi seeks to offer the most comprehensive end-to-end trading experience available, servicing traders of all levels from beginners to institutional-level clients. Lets talk about the cool stuff you do at Axi ! As the Senior Data Engineer for the Customer Data Platform, you will play a pivotal role improving Axi s data capabilities which deliver positive performance impacts on our global trading products. You will sit within our Product Data Team and proactively collaborate with broader business teams across Product, IT, Sales/Marketing and Finance. You will implement data initiatives which buildAxi s utilisation of our Customer Data Platform to deliver growth strategies that increase the adoption of Axi s trading products that will generate new trading clients. Your EDGE Assignment/You Will Responsible for building and applying configurations supporting Axi s Customer Data Platform (CDP) - Segment. Collaborating with cross-functional teams across Product, Technology and Marketing to understand requirements, design scalable data pipelines and implement new features or enhancements to the CDP using new data sources and destinations. Supporting the business to derive insights using PowerBI dashboards. Design and develop data pipelines including orchestration, ingestion, transformation, and delivery - across streaming, event and batch-style processing. Work with a team of data specialists analysts helping measure Product onboarding effectiveness and marketing activities. Develop, maintain, and optimize data integration and ETL processes using GCP and Azure services and tools. Create new data pipelines to efficiently enrich Axi s Customer Data Platform. Support our Marketing Data Warehouse and daily synchronisation of channel cost data. Proactively derive insights and data from Axi s platforms to inform digital experience design and strategy, and feed into executive reporting. Democratising data for stakeholders. Responsible for maturing Axis data model which facilitates Customer Data Platform audience activations for Marketing / Sales broader departments. You will keep up to date across industry developments and trends, the latest data architecture techniques, and tools. Adhere to all Axi s policies and procedures to ensure compliance with Axis internal processes. Are you the one Overall 5 years of experience in data/software engineering. Strong experience in Python/SQL. Strong experience using Databricks/Snowflake or other Spark backed data engineering tools. Strong experience using Azure DevOps. Bonus experience using Kafka. Axis bag of delights Competitive and attractive compensation. Extensive learning opportunities, such as professional training and certifications and soft skills development. 18 annual leave days per year. 12 sick days leave per year. Public holidays as declared by local government. Maternity leave as per law. Health Insurance. Axis interview journey Talent Acquisition Interview (45 minutes) Cultural Interview (30 minutes) Technical Interview (90 minutes) Please note that our organization works with recruitment agencies on a pre-approved basis only. A recruitment agency that wishes to submit candidate profiles or resumes for consideration must obtain prior written consent from our talent acquisition team. We do not accept unsolicited resumes from recruitment agencies, and we will not be responsible for any fees related to unsolicited resumes. Should we receive an unsolicited resume from a recruitment agency that does not have prior written consent, we will not be responsible for the payment any fees related to the recruitment of the candidate represented in the unsolicited resume.