Data Engineer

at  Latitude Financial Services

• Recognition @ Latitude: Education support, Better giving programme with charity partners, Latitude matches dollar for dollar and Community partner days.
• Annual salary reviews
• Flexibility @ Latitude: Flexible work arrangements - balance work and personal responsibilities, Hybrid set up - work from home & the office – 1 day, 3 Days paid volunteer leave annually, paid community service leave, paid compassionate / bereavement leave
  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 engineering lens. We are looking for 2 x Data Engineers.
  This role is with our Data Platforms & Engineering Team, here you will enable 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 platform and data product and help build data-driven culture.
  Our Data platforms enable single customer view and a modern Data Lake enabling realtime scalable analytics, reporting and AI/ML capabilities. Our Data Products enable organisation wide teams to deliver customer focused outcomes like Personalisation, Next Best Offer, Collections, Fraud Detection to name a few. Checkout
  this blog post
  and
  Podcast
  to get a glimpse of how we think and approach problems.

Key Responsibilities/Accountabilities

• 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:

• Bachelors in Computer Science or equivalent experience with 3+ years professional experience in software engineering
• Experience designing data models for optimal storage and retrieval to meet product and business requirements.
• Strong programming skills using Python
• Experience of working with relational databases and query authoring (SQL)
• Experience building scalable data pipelines using Spark, Airflow, DBT and Snowflake.
• Experience working with AWS cloud services like ECS, EKS, S3, Cloudformation, IAM etc
• Well versed in modern software development practices (Agile, TDD, CICD)

Sometimes the best candidates don’t have 100% of what is listed above, but if you have most and are confident you’d be a good fit, we’d love to hear from you!
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.
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

• 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