Senior Data Engineer

Responsibilities

• We have a fantastic opportunity for an experienced Data Engineer to join our global team in an Engineering Manager role. This role will play a major part in the delivery of our Group Data Strategy and Data Transformation Journey by delivering, enhancing, and maintaining our IQEQ Data Platform which will drive how our data is managed and used to deliver outcomes in a host of key areas to maximise business value and growth delivering improvements for internal and external stakeholders and clients.
• This is a deeply technical, hands-on role requiring an experienced practitioner who will get directly involved in expanding and optimizing our data pipeline architecture. We need a proven data engineering professional with extensive, current experience in building and managing complex data infrastructures. The ideal candidate will have a track record of rolling up their sleeves to construct, troubleshoot, and refine data pipelines through direct, practical work.
• You will actively support our software developers, database architects, data analysts, and data scientists by directly implementing data initiatives, not just strategizing. Your day-to-day responsibilities demand practical, technical expertise in data wrangling, with a proven ability to navigate and leverage significant data assets to build optimal production-ready models.
• You will ensure optimal data delivery architecture is consistent throughout ongoing projects and you must be self-directed and comfortable supporting the data needs of multiple teams, systems, and products.

Tasks (what does the role do on a day-to-day basis)

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS, Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs
• Implement data flows to connect operational systems, data for analytics and business intelligence (BI) systems
• Document source-to-target mappings
• Re-engineer manual data flows to enable scaling and repeatable use
• Write ETL (extract, transform, load) scripts and code to ensure the ETL process performs optimally
• Develop business intelligence reports that can be reused
• Supporting the Lead Data Engineer providing day to day supervision of the Data Science and Engineering team
• Provide in-country coordination for the team ensuring the India team adheres to processes and policy at the local level

Key behaviours we expect to see

• In addition to demonstrating our Group Values (Authentic, Bold, and Collaborative), the role holder will be expected to demonstrate the following:
• Communicates Effectively – Adjusting communication style to fit the audience & message.  Providing timely information to help others across the organisation.  Encourages the open expression of diverse ideas and opinions
• Action Orientated – Readily taking action on challenges without unnecessary planning and identifies new opportunities, taking ownership of them
• Interpersonal Savvy – Relating comfortably with people across all levels, functions, cultures & geographies.  Builds rapport in an open, friendly & accepting way
• An analytical mind, excellent problem-solving & diagnostic skills, attention to detail