Qureos Mentor

Talent Formula

<div><div>Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Engineer. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.</div><div>
 The Senior Data Engineer is a new and unique role critical to helping us realize our vision for new and valuable data products and services. As a Senior Data Engineer, you will play a critical role in designing, developing, and maintaining robust data pipelines and platforms that enable the creation and deployment of data products. Your eye for intuitive and simple design, combined with mature data engineering and machine learning skills, and a strong work ethic, will position you well to experience a rewarding career with Talent Formula.</div><div>
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The opportunities for you to learn and grow in this role are limitless. We need you to help us identify, and make intuitive, new data insights that will help raise the bar, optimize, and grow the business.</div><div></div><div><b><br>
Note: This is a office based role</b></div><div>
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What you do if you join us:</b></div><div></div><div><br>
Design and Development:</div><ul><li>Architect, build, and optimize scalable data pipelines and workflows to support data architecture in the hospitality industry.</li><li>Develop data models and schemas that facilitate seamless integration with downstream analytics and applications.</li><li>Automating build and deployment pipelines for end-to-end customer lifecycle</li><li>Proactively seek to link analytical outputs to commercial outcomes</li><li>Optimize components to run efficiently in the cloud</li><li>Assist in troubleshooting and resolving data pipeline issues and infrastructure-related problems in a timely manner</li><li>Implement data quality checks, monitoring, and governance frameworks</li><li>Contribute to the product roadmap, sprint planning, stand-ups, and ensuring the scrum board is up to date</li><li>Document data engineering processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility</li></ul><div></div><div><br>
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 Personal attributes</div><ul><li>You are organised, efficient, and a fast learner</li><li>You demonstrate a scientific and design-led approach to delivering effective data solutions</li><li>Integrity, honesty, trust, and respect.</li><li>You are self-motivated and can work as an individual and in a team</li><li>You love innovation and are always looking for ways to improve</li><li>You are an excellent communicator, patient, and able to explain your point ideas verbally, and in writing</li></ul><div>
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 We would love to hear from you if you&hellip;</div><ul><li>have 5+ years of experience in data engineering / analytics</li><li>have a Bachelor&rsquo;s or Master&rsquo;s degree in data science, mathematics, statistics, or computer science</li><li>understand good data design principles</li><li>are proficient in the development and operation data pipelines</li><li>production python experience</li><li>can work with others to hypothesize and identify trends in data to achieve results for customers.</li><li>are experienced with SQL, Python, Jupyter Notebooks, and ETL tools (dbt, stored procs)</li><li>familiar with cloud hosting services (mainly, Google, Azure), and their data services</li><li>familiar with ML techniques (mainly, regarding text analysis and classification)</li></ul><div>
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It would be fantastic but not essential if you have experience working with any of the following technologies:</div><ul><li>Google Cloud Platform (BigQuery, Cloud Run, Pub/Sub)</li><li>Azure (MS SQL Server)</li><li>Postman (API development)</li><li>Python Django</li><li>DBT, Stored procedures</li><li>ML (text analysis, classification)</li><li>Tableau/Looker Studio/Power BI</li></ul></div><div></div>

Senior Data Engineer

<div><div><b>Job title</b><b>: </b>Processor Payroll &amp; Compliance</div><div><b>
Primary Job Title</b><b>:</b> Analyst</div><div><b>
Service Line</b><b>: </b>Platform Services</div><div><b>
Line manager</b><b>:</b> Payroll Lead</div><div><b>
Indirect Manager</b><b>: </b>Payroll &amp; Compliance Officer (Sydney)</div><div><b>
Direct reports</b><b>:</b> None</div><div>
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About the team and role</b></div><div>
At Quantaco, we deliver state-of-the-art predictive financial data services for the Australian hospitality industry. We are the eighth-fastest growing company in Australia as judged by Australia&rsquo;s flagship financial newspaper, Australian Financial Review in 2022 and we are accelerating through hyper-automation.</div><div>
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Our Hyderabad team is the cross-functional heartbeat of Quantaco, with team members that sit in each of our service lines. We have a range of disciplines that sit within the Hyderabad team including accountants, engineers, data analysts, operations, and general management.</div><div>
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The Payroll &amp; Compliance Processor will deliver the processing of specialized payroll activities including outer limits and annualized wage reconciliations.</div><div>
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Working with the Payroll &amp; Compliance Officer (in Sydney) and the Payroll Processing team in Hyderabad, the objective of this role is to ensure accurate payroll figures for our clients, using our proprietary and systems processing methods. While our clients are familiar with payroll processing, this role will need to know the intricacies of why we need to process outer limits and conduct annual reconciliations in order to answer any basic queries from clients.</div><div>
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Therefore, the Payroll &amp; Compliance Processor needs to have a keen eye for detail and must love processes and process improvement.</div><div>
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Our culture and values</b></div><div>
Quantaco is a happy and diverse group of professionals who value authenticity, creativity, and flexibility. We support and work hard for each other and for our customers, having fun along the way. You can see what our team says about Quantaco Life https://www.linkedin.com/company/quantaco/videos/?viewAsMember=true.</div><div>
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OKRs:</b></div><div><b>
Growth &amp; Scale</b></div><ul><li>
Be the expert in processing outer limits and annualised wage reconciliations for the team in HYD</li><li>
Conduct a least 1 training session per quarter (or as appropriate) on the outer limits and annualised wage reconciliation process</li><li>
Actively participate and maintain at least 80% attendance in trainings</li><li>
Understanding of and knowledge of our payroll processes and where outer limits processing and annualised wage reconciliations fit in</li><li>
Roster adherence is 85% or more and office days are at least 3 days a week</li><li>
Actively participate in team huddles</li><li>
Achieve 98% compliance with all Australian payroll laws each quarter</li><li>
Agreed performance metrics (98% completion on time) met or exceeded and Monday.com is live source of truth at all times.</li><li>
Maintain 100% compliance in actioning emails within 24 hours</li><li>
Review comments from CL/CM/CD are actioned within 24 hours and are not repeated in the following months.</li></ul><div><b>
Satisfaction:</b></div><ul><li>
Payroll requests and reconciliations are processed in line with the SOP and reviewed to be error free</li><li>
Payroll requests are processed every week on time and delivered to clients</li><li>
100% accuracy of payroll processing results</li><li>
Answering basic queries from clients and appropriate escalation to the Payroll &amp; Compliance Officer</li></ul><div><b>
Profitability:</b></div><ul><li>
Ensure follow-through of all client requests for outer limits processing and reconciliations.</li><li>
Comply, adapt and improve upon payroll processes to optimise payroll processing time.</li><li>
Ensure sufficient processes in place to ensure delivery of outer limits calculations and reconciliations every week.</li></ul><div></div><div><br>
 <b>Personal attributes</b></div><ul><li>
Organized, detail-focused and process driven with a love for numbers</li><li>
Energetic, loves fast-paced environments, and fast learner</li><li>
Dedicated to following processes and procedures with a love for process improvement</li><li>
Empathic, humanistic and able to deal with uncertainty</li><li>
Self-motivated and can work as an individual and in a team</li><li>
Solution-driven with an innate sense of curiosity</li><li>
Ability to influence team members to collectively achieve the desired outcome for all stakeholders</li><li>
Excellent communicator, patient, and able to explain your ideas verbally, and in writing</li></ul><div><b>
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Skill requirements</b></div><ul><li>
Qualified BCom or other accounting degree</li><li><b>
Must have minimum payroll experience of 2 years</b></li><li><b>
Must be a minimum of Meets Expectations at last performance review</b></li><li><b>
Must have a demonstrable track record of delivering payroll process and procedure</b></li><li>
Highly advanced at Excel and familiarity with payroll and time and attendance systems, including Deputy, Tanda, NetSuite, and KeyPay (training will be provided)</li><li>
High attention to detail</li><li>
Understanding or familiarity with Australian Payroll (particularly, Hospitality Industry Award)</li><li>
Loves numbers and analyzing numbers</li><li>
Proficient communication skills</li><li>
Able to prioritize, multitask and be solution oriented</li><li>
Proven advanced accounting knowledge and application skills</li><li>
Proficient and comfortable using a range of technology applications</li><li>
Previous payroll processing experience.</li></ul></div><div></div>

Payroll Processor

<div><div>Talent Formula is a consulting firm that offers outsourced financial and accounting talent to Chartered Accounting firms worldwide. We are currently sourcing for Data Scientist. We are looking for a candidate who is enthusiastic, can fit in the team with the following requirements.</div><div>
We are looking for a Data Scientist with strong software engineering capabilities to join our team. This is a key role in helping us unlock the power of data across our platform and deliver valuable insights to hospitality businesses.</div><div>
You will work on projects ranging from statistical modelling and anomaly detection to productionizing ML pipelines (ranged from time series forecasting to neural networks and custom LLMs), integrating with Django and Flask-based web applications, and building data products on Google Cloud using PostgreSQL and BigQuery, as well as ML routines in Databricks/VertexAI.</div><div>
This role is ideal for someone who thrives in a cross-functional environment, enjoys solving real-world problems with data, and can contribute to production-grade system</div><div><b>
Note: This is an office-based role</b></div><div></div><div><br>
 Responsibilities of the role:</div><ul><li>
Build and deploy data-driven solutions and machine learning models into production.</li><li>
Collaborate with engineers to integrate models into Django/Flask applications and APIs.</li><li>
Develop and maintain data pipelines using Python and SQL.</li><li>
Proactively seek to link analytical outputs to commercial outcomes</li><li>
Provide technical expertise for proof-of-concept (PoC) and minimum viable product (MVP) phases</li><li>
Clean, transform, and analyse large datasets to extract meaningful insights.</li><li>
Write clean, maintainable Python code and contribute to the platform&rsquo;s architecture.</li><li>
Work with cloud-native tools (Google Cloud, BigQuery, Cloud Functions, etc.).</li><li>
Participate in sprint planning, stand-ups, and team ceremonies as part of an Agile team.</li><li>
Document MLOps processes, workflows, and best practices to facilitate knowledge sharing and ensure reproducibility</li></ul><div></div><div><br>
You&rsquo;ll fit right in if you&hellip;</div><ul><li>
Have 1 &ndash; 2 years of experience in a data-centric or backend software engineering role.</li><li>
Are proficient in production Python, including Django or Flask, and SQL (PostgreSQL preferred).</li><li>
Are curious, analytical, and love solving data problems end-to-end.</li><li>
You demonstrate a scientific and design-led approach to delivering effective data solutions</li><li>
Have experience with data modelling, feature engineering, and applying ML algorithms in real-world applications.</li><li>
Can develop scalable data pipelines and integrate them with cloud platforms (preferably Google Cloud).</li><li>
Communicate clearly and can collaborate across technical and non-technical teams.</li><li>
You are self-motivated and can work as an individual and in a team</li><li>
You love innovation and are always looking for ways to improve</li><li>
Have an MLOps experience (mainly, regarding time-series forecasting, LLM and text analysis, classification &amp; clustering problems)</li></ul><div></div><div><br>
Position Description &ndash; Data Scientist:</div><ul><li>
It would be fantastic (but not essential) if you&hellip;</li><li>
Hold a degree in data science, mathematics, statistics, or computer science.</li><li>
Have experience with BigQuery, VertexAI, DBT, Databricks, or Terraform.</li><li>
Are familiar with containerisation and serverless architecture (Docker/Kubernetes/GCP).</li><li>
Have worked with BI tools or data visualization frameworks (e.g. Looker, PowerBI).</li><li>
Have exposure to financial data systems or the hospitality industry.</li></ul><div></div><div><br>
Preferred technical skill set:</div><ul><li>
Google Cloud Platform (BigQuery, VertexAI, Cloud Run)</li><li>
Python (Django/Flask)</li><li>
Azure (MS SQL Server, Databricks)</li><li>
Postman (API development)</li><li>
DBT, Stored procedures</li><li>
ML (time-series forecasting, LLM, text analysis, classification)</li><li>
Tableau/Looker Studio/Power BI</li></ul></div><div></div>

Junior Data Scientist

Join Talent Formula and explore 3   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Talent Formula

ABOUT_COMPANY

Senior Data Engineer

Payroll Processor

Junior Data Scientist