Senior Data Engineer

Details of the offer

If you are an Amazing Software Engineer who is keen on implementing software engineering principles in data space, we want to talk to you and discuss how we are trying to solve data problems from an engineering lens.Let's talk about the role:This role is with our Data Platforms & Engineering Team, where you will enable our data engineering practice, contribute to the data platform, and enable teams to deliver different data products using the platform.Data Platforms & Engineering Team at LFS is a group of Software Engineers, Data Architects, Data Analysts, and Project Managers who love solving problems using platforms and data products and help build a data-driven culture.Our Data platforms enable a single customer view and a modern Data Lake enabling real-time scalable analytics, reporting, and AI/ML capabilities. Our Data Products enable organization-wide teams to deliver customer-focused outcomes like Personalization, Next Best Offer, Collections, and Fraud Detection, to name a few.Responsibilities:Work with different stakeholders to understand their needs and build data ingestion processes, data applications, and data models to address their requirements.Work closely with the analytics and data science team to build data solutions that allow them to obtain more insights from our data and use those to support important business decisions.Own a problem end to end, work with the team, and guide them through design and iterate on the solution.Actively advise on improvements on processes, products, and deployed code.Contribute to the development of baseline platform products and scale sustainably by pushing code changes that improve reliability.About you!Bachelor in Computer Science or equivalent experience with 5+ years professional experience in software engineering.Working knowledge of relational databases and query authoring (SQL).Experience designing data models for optimal storage and retrieval to meet product and business requirements.Experience building scalable data pipelines using Spark, Airflow, dbt, and Snowflake.Experience working with AWS cloud services like ECS, S3, CloudFormation, IAM, etc.Well versed in modern software development practices (Agile, TDD, CI/CD).Sound like you? That's a good sign! In return for your energy and ideas, we offer a flexible working environment and great compensation. We always support a safe, healthy, engaging, and productive working environment for all employees and workers, whether that be in your home and office, or a combination of both.We're Latitude, partners in money Latitude may seem like the new kid on the block, but it's taken us almost a hundred years to become an overnight success. Digital payments, cards, loans, and insurance is what we offer - but what we really are is a platform that helps people shop and live better. Always living and breathing our values: Act Right, Show Care, Be Curious.We're not engaging any recruitment agencies for this role, so if you're interested, please apply directly!Successful applicants will be required to complete a background check (including criminal history and bankruptcy check) prior to commencement of employment. Only open to Australian or New Zealand Permanent Residents or Citizens.About UsWhy work at Latitude?In addition to a great culture, challenging work, and the chance to grow your career, Latitude also offers a comprehensive suite of employee benefits, designed to be as individual as each of our employees. From superannuation and short-term incentives to flexible working policies and a comprehensive employee assistance program, there are Latitude benefits to support your working and personal life. Additionally, the 'Congratitude' recognition program exists to reinforce our spirit of teamwork and achievement, and have a little fun along the way.
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Nominal Salary: To be agreed

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