👀 👀Sydney Data Science & Data Engineering Talent Available Now🙅🏻
🖥 The world of Data & AI is evolving at lightning speed. There have been considerable changes in the way data is processed, moving from batch to realtime, from one: one bespoke integration to many: many and from Centrally Managed to Self-serve Tooling.
AI is also ready to hit the tarmac and deliver real commercial value. Deep Learning is getting deeper, Reinforcement Learning is becoming a thing, and AI is converging with emerging tech like IoT and Blockchain.
The problem for many Data, Product & Tech leaders is keeping up and staying competitive.
Evolving with the change, implementing new processes, best practice and methods is all possible. Adopting AI & ML to bring a competitive advantage is in your toolbox.
But you need the skills and the team, you can’t do it on your own. That is a whole other headache.
“Information is the oil of the 21st Century and Analytics is the combustiuon engine” Peter Sondergaard, Gartner Rearch.
Evolution of the process and approach, adoption of new best practice and modern tech is only achievable with the right skills in the team.
Sourcing them is a whole other headache, especially in a market like Sydney. 💆🏼♂️
It’s often easier to bring in the professionals to spend their time sourcing and engaging data talent that doesn’t respond to job ads or the hundreds of Linkedin InMails they receive each week.
🙋♂️This is where specialists like Beagle Digital come in. 🙌
You will find👇 (and 🖕 in the video) just a small sample of the type of passive in-demand Data Science & Engineering talent we have ready for your team.
Data Scientist -Available for Perm & Contract (Immediate)
- Overview: Experienced Data Scientist with a proficient track record developing and deploying complex predictive Machine Learning, AI and Statistical Solutions.
- Career: Five years of experience working in Fin-tech and Corporate Consultancy mostly using Microsoft Azure
- Clients: Major Market Place Startup, Publishing, eCommerce & Fintech.
- Skills: Data Engineering, Analytics & Warehousing. Machine Learning. Python. ETL Building advanced Analytics
- Data Retrieve: Wrangle, explore, enrich, and model data using Jupyter, Pandas Scikit learn & Tensorflow
- Looking: Permanent position in a progressive ML/ AI team working as a Data Scientist.
Senior Data Engineer – Available for contract or perm (4 Weeks)
- Overview: Solutions Focused Senior Data Engineer with a decade of experience designing and developing complex data solutions.
- Client: Financial Services, Fin Tech, Non-Profit and Consultancy (including Westpac, Intuit, Cognizant
- Value: He builds and maintains tools that facilitate Data Access, Integration and Interpretation. Focus on ETL Pipelines and Data-Intensive applications.
- Stack & Tools: SQL, Python, Apache Spark, Airflow, Azure, AWS, Visual Studion Code, Sypder.
Senior Data Engineer Available for Contract or Perm (4 Weeks Notice)
- Overview: Solutions Focused Senior Data Engineer with a decade of experience designing and developing complex data solutions.
- Client: Financial Services, Fin Tech, Non-Profit and Consultancy (including Westpac, Intuit, Cognizant
- Value: He builds and maintains tools that facilitate Data Access, Integration and Interpretation. Focus on ETL Pipelines and Data-Intensive applications.
- Stack & Tools: SQL, Python, Apache Spark, Airflow, Azure, AWS, Visual Studio Code, Sypder.
🖕If you are interested in any of the talent above, or if you would like to discuss your requirements, contact me on the details below.👌
