Senior Data Engineer - Driven data platforms
Simple Machines, Australia
Job Description
Join Simple Machines and be part of our mission to help clients unlock the full potential of their data through the creation of cutting-edge business driven data platforms and software solutions. As we continue to expand our team across Australia and New Zealand, we are seeking Data Engineers who are unafraid to challenge the status quo and push boundaries.
About You
We are looking for individuals who are passionate about working closely with clients to solve complex problems and lead them on a journey from discovery to technical implementation. You have a knack for understanding client needs and delivering market-leading solutions.
The Exciting Part
Simple Machines is not your average consultancy or software engineering firm. Our team is comprised of inspiring technical leaders in Data Engineering, Machine Learning, and Artificial Intelligence. Our projects are data-focused and drive impactful business outcomes.
About the Role
As a Lead / Senior Data Engineer, you will have the opportunity to work on world-class programs, collaborate with our engineering and analytics teams, and mentor teams from various organizations.
Sound good so far?
Requirements
Responsibilities
- Collaborate with business stakeholders to understand their domain and data needs
- Architect, design, and implement scalable solutions to meet stakeholder requirements
- Mentor teams across a variety of organisations
Requirements
- Understanding of big data considerations, such as security, governance, reliability, and scalability
- Ability to upgrade existing solutions to meet new requirements
- Ability to model data to meet business requirements and make informed technology recommendations
- Deep understanding of structured, semi-structured, and unstructured data
- Hands-on experience with batch processing and streaming tools and technologies, such as Spark, Kafka, Flink, DBT, and Athena
- Experience with cloud platforms (AWS, GCP, Azure)
- Proficiency in programming languages such as Python, Java, Scala, GoLang, or Rust
- Experience with data warehousing technologies (BigQuery, Snowflake, Databricks) and data storage formats (Parquet, Delta, ORC, Avro, JSON)
Nice-to-Haves
- Experience with infrastructure as code tools (Terraform, Pulumi, CDK)
- Knowledge of containerised solutions (Docker, Kubernetes)
- Familiarity with CI/CD tools (GitHub Actions, Azure DevOps, JetBrains TeamCity, Octopus Deploy, ArgoCD)
- Experience with testing tools and frameworks (DBT, Great Expectations, Soda)
Unless otherwise stated: You must have full working rights in Australia
Benefits
Working at Simple Machines
We’re looking for someone who’s as passionate as we are about building a world-class technology company specialising in engineering for data.
Just some of the benefits of working with Simple Machines include:
- Flexible working: Want to work from home or leave early to pick up the kids? Need to start early some days, later on others? No problem!
- Generous parental leave: Three months’ fully paid primary carer leave and one month fully paid secondary carer leave, subject to a minimum 12 month tenure
- Learning and development: We all love continually learning and have a generous budget for you to upskill, join conferences, get certified and qualified
- Lunch is on us. Always! We happily supply lunch at each of our office locations every Monday, Wednesday and Friday.