Senior Data Engineer

Summary

Join Multiplier, a global leader in simplifying global hiring, and contribute to building a world without limits. Design and build the data architecture and platform from scratch to support Multiplier's requirements. Collaborate with stakeholders and product managers to deliver data product requirements for internal and external customers. Analyze internal and external data sets to build data lakes and warehouses, answer business questions, and derive insights. This role requires a minimum of 5 years of experience as a Data Engineer or in a related field, along with expertise in data modeling, warehousing, ETL pipelines, big data tools, and SQL. Multiplier offers attractive ESOPs, remote employment, competitive benefits, unlimited holiday policy, and opportunities for growth within a fast-growth business.

Requirements

• At least 5 years of experience as Data Engineer or related field
• Experience with data modelling, data warehousing, and building ETL pipelines preferably on the AWS stack
• Experience with big data tools such as Databricks, Redshift, Snowflake, or similar platforms
• Proficiency in open table formats like Apache Iceberg, Delta Lake, or Hudi
• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience in working with data analytics tools such as Tableau or Quicksight
• Experience with high-level scripting/programming languages: Python, JavaScript, Java etc
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets

Responsibilities

• Design and build from scratch, the data architecture and the data platform necessary support the requirements at Multiplier
• Work closely with stakeholders and product managers to deliver all data product requirements for our external and internal customers
• Understand internal data sets and sources to be able to build data lakes and warehouse to support the continuous needs
• Analyse and utilise external data sets and sources to be able to answer questions and derive insights based on the business requirements

Preferred Qualifications

Management skill is a huge plus

Benefits

• Attractive ESOPs
• Remote employment with truly remote culture
• Ability to contribute to this business at a high level
• Working with a compassionate, energetic, inspired, ambitious, and diverse team
• Opportunity to grow within a fast-growth business
• Competitive benefits, compensation, and culture of recognition
• Equipment you need to do your job
• Unlimited holiday policy