Join An Incredible, Thriving Company as a Data Engineer and Shape the Future of Data!

Are you ready to take your data engineering skills to the next level? Do you thrive in a collaborative environment where you have the freedom to innovate and make an impact? If so, we want to hear from you!

We’re looking for a Data Engineer to join and help our client build powerful data pipelines, create cutting-edge machine learning strategies, and deliver the critical insights that will drive business success. Whether you're a seasoned professional or a rising star, if you're passionate about working with data and solving complex challenges, this role is made for you.

Why This Role is Awesome:

🔹 Real Impact: You'll work on projects that directly influence business decisions, with visibility and room to make your mark.

🔹 Growth Opportunities: A company committed to your professional development. There’s no limit to where you can go here!

🔹 Inclusive Culture: They truly embrace diversity and are proud to provide a welcoming and supportive environment for all. We strongly encourage people from all backgrounds, genders, and walks of life to apply, because diverse teams are better teams.

🔹 Team Vibes: Join a team that is collaborative, passionate, and genuinely invested in helping each other grow.

Key Responsibilities:

• Data Warehouse Mastery: Design and optimise scalable data warehouses using the latest technologies.
• ETL/ELT Pipelines: Build, maintain, and optimise pipelines that streamline data flow and improve data accessibility.
• Innovate with AI/ML: Play a key role in developing AI and Machine Learning strategies to push the boundaries of what’s possible with data.
• Data Problem-Solving: Troubleshoot and resolve issues around data integration, acquisition, and management.
• Report Creation: Generate impactful ad-hoc and periodic reports that drive key business decisions.

What We’re Looking For:

• Deep Knowledge: A strong foundation in Data Engineering principles, with expertise in building and managing ETL/ELT pipelines.
• Tech-Savvy: Proficiency in Python and Java, with experience in working with relational (MySQL, PostgreSQL) and NoSQL databases (MongoDB, Cassandra).
• Tech Stack Familiarity: Hands-on experience with data warehousing technologies like Amazon Redshift or Snowflake, and distributed messaging systems like Kafka.
• Attention to Detail: Strong problem-solving skills and a laser focus on quality, performance, and data integrity.
• Collaboration & Communication: Excellent written and verbal communication skills to effectively collaborate with teams and stakeholders.
• Adaptability: A proactive mindset with a strong desire to learn and adapt in a fast-paced environment.

Bonus Points If You:

• Have experience building Machine Learning (ML) pipelines.
• Have worked with other data warehousing technologies like Databricks, Google BigQuery, or Azure Synapse.
• Are skilled in building automated CI/CD pipelines.

Qualifications:

• Degree in Data Science, Computer Science, or a related field.
• A minimum of 5 years of commercial experience as a Data Engineer or Java Developer.
• Full working rights in Australia.

Why You Should Apply:

If you're passionate about data, excited about solving real-world problems, and eager to grow in an environment that nurtures your skills, this is the opportunity for you!

Ready to join an exciting, inclusive team and make a lasting impact? Apply now.