Data Engineer

Summary about this job

Detail information about job Data Engineer. Terms and conditions vacancy

Dream role for an accomplished Data Engineer with strong business acumen.

Big Wave Digital is thrilled to be partnering exclusively with a Premium Global Enterprise Organisation to source an outstanding Data Engineer who is business minded, entrepreneurial, passionate and collaborative.
 
Operating across 50 countries and 20+ cities, this is a sophisticated truly premium brand growing their Sydney presence very successfully. The Data Science and Engineering teams work is fast paced and expansive.  Solutions feature the latest in data science tools, machine learning / A.I. algorithms, software engineering disciplines and analytical techniques to make an extraordinary impact on clients and societies. 

My client operates at the intersection of "cool tech" and real world problems faced by some of the world's leading companies. They hire smart, driven people and equip them with the tools and support they need to get their jobs done.  Their culture is a pillar of their success and identity. With a belief that happiness, health and a life outside of work are paramount the team members teach each other and take care of each other. 

This exciting opportunity presents a unique chance to join this prestigious organisation, helping shape and influence the technical hub here in Sydney whilst working on some seriously cutting edge projects.

What's here for you:

• You will work with an awesome and passionate team.
• Work on a variety of tech, industries, projects and clients.
• Real world, real impact projects.
• You will be invested in to help grow your career.
• Work in smaller more agile flatter teams.
• Be empowered with more autonomy and responsibilities.
• Attractive remuneration and flexibility.

What you will need to be successful in this role:

• Technical background in computer science, data science, machine learning, artificial intelligence, statistics or other quantitative and computational science.
• Demonstrable experience designing, building and deploying  complex production systems that implement the latest data scientific methods at scale.
• Fluency with cluster computing environments.
• Demonstrated expertise working with open source data analysis platforms, including but not limited to:
• Pandas, Scikit-Learn, Matplotlib, TensorFlow, Jupyter and other Python data tools.
• Spark (Scala and PySpark) HDFS, Kafka, and other high volume data tools.
• Relational databases such as SQL Server, Oracle, Postgres.
• NoSQL Storage tools such as MongoDB, Cassandra, Neo4j and ElasticSearch. 
• Modern programming langues for data science, covering a wide gamut from data storage and engineering frameworks through to machine learning libraries.

Have you outgrown your current company and position?  Are you looking for an awesome new challenge? This is a cracker! 
 
Please send your resume to Lexy Mitchell at [email protected]