Lead Data Engineer
Melbourne
We are looking for a Lead Engineer with strong hands on data architecture and engineering experience to help us build our growing data practise working. You will be working primarily with Australian based clients followed by the wider APAC region. In this position, you will lead analytics and data engineering solutions, working closely with our teams in the region.
The main responsibilities include but are not limited to :- Lead the team of engineers to enable a multidisciplinary team of data analysts and data engineers to build, enhance, and maintain data products.- Work with our Australian clients in person and virtually to bootstrap projects, establish and expand relationships with key technical and non-technical stakeholders- Work on various projects, for different clients, in different subject matter domains.- Participate in technical design and architecture discussions- Assist with the Data related component of pre-sales engagements and initiatives associated with CI&T Data offers to the market, providing the best solutions to our clients to land the opportunities.- Participate in sales pitches to cover the Data related components of a solution during that process- Data & Analytics thought leadership- Ensure that solutions are following security and performance best practices- Create and maintain technical design and other documentation required by the clients- Understand requirements and make viable technical solutions by choosing appropriate frameworks- Guarantee a stable and productive development environment.
We are looking for someone who has :- Experience designing and pitching data solutions to different levels of stakeholders, collaborating with pre-sales, and demonstrating technical capabilities for non-technical audiences- Solid experience in architecture design and technical leadership- Solid experience designing, developing and deploying pipelines, data-lakes, data meshes and other data products- Solid experience in understanding, questioning, prioritising and translating business problems into data solutions (BI, analytics, deterministic and statistical models, ML)- Solid experience with cloud platforms (Azure, AWS or GCP)Experience in identifying, gathering and prioritising non-functional requirements, technical pain points, environment and client constraints- Experience with Microsoft Intelligent Data Platform (MIDP), Databricks or AWS Data Services — especially within the realms of data integration, analysis and visualisation- Experience in data pipeline orchestration tools such as Azure Data Factory, AWS Glue or Apache Airflow- Experience with CI/CD and MLOps pipelines- Experience with IaC- Willingness to work with different technologies and learn every day- Full Australian working rights
We expect candidates to have knowledge in some, though not necessarily all, of the fields listed below...
- Knowledge of non-functional requirements (performance, security, data privacy and protection)- Knowledge of design patterns, clean architecture and clean coding- Knowledge of unit, integration and E2E testing
#LI-JD2
CI&T is an equal-opportunity employer. We celebrate and appreciate the diversity of our CI&Ters’ identities and lived experiences. We are committed to building, promoting, and retaining a diverse, inclusive, and equitable company and culture focused on creating a better tomorrow.
At CI&T, we recognize that innovation and transformation only happen in diverse, inclusive, and safe work environments. Our teams are most impactful when people from all backgrounds and experiences collaborate to share, create, and hear ideas.Before applying for our opportunities take a look at Conflict of Interest Policy on website.
We strongly encourage candidates from diverse and underrepresented communities to apply for our vacancies.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Architecture AWS AWS Glue Azure CI/CD CX Databricks Engineering GCP Machine Learning MLOps Pipelines Privacy Research Security Statistics Testing
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