- Location
- , UNAVAILABLE
- Workplace
- Hybrid
- Department
- IT
- Seniority
- Senior
- Closing date
- Today
- Source
- iCIMS
Description
Overview
About CBTW
CBTW is a global independent tech consultancy group. With a team of more than 3,000 talented tech specialists on the ground in over 35 cities across Europe, the USA, Asia, Australia and Africa, we serve clients of all sizes. We believe collaboration betters our world. Our unique open ecosystem model allows us to deliver end-to-end tech solutions.
About Our Partner
Our Partner is an Australian & New Zealand-owned consulting firm. Pioneering AI-first solutions, our partner is a next-gen consultancy that blends brilliant thinkers with expert engineers, transforming businesses through data, digital, cybersecurity, and cloud expertise.
Responsibilities
As a Senior Analytics Engineer, you will be responsible for providing technical expertise to deliver on complex projects, including both hands-on delivery excellence to produce valuable outputs and flexing your consulting skills to provide advice and oversight to both the team & client.
Deliver the company's core analytics offerings and provide technical guidance on client projects
Create and maintain scalable data pipelines, models, dashboards and reports to make data accessible to clients in a useful, timely, robust and intuitive way
Work across a range of modern data tools following best DataOps practices on different cloud or hybrid data stacks
Provide clients with guidance and recommendations on the right data tools depending on the challenges and opportunities they face
Be a technical expert in at least one data engineering area, while adopting new technologies along the way
At times, successfully lead small teams, operate as the most senior technical person on a project and/or work collaboratively in larger teams of people with varying levels of experience.
Work with project leadership to define scope, align on expectations, manage dependencies, escalate and mitigate risks, and seek timely support
Help identify potential opportunities within projects and client relationships
Participate in events to raise awareness of Mantel’s Data capability and build relationships in the community
Help to train, coach and mentor others within the team through on-the-job teaching, tutorials, hands-on training, presentations and other similar activities
Qualifications
Previous experience in a hands-on data analytics role, BI or related role in a consulting organisation
- Excellent English communication skills (both verbal & written), especially in the global software development environment
Demonstrated hands-on data experience across BI, data warehousing, data modelling and modern cloud platforms
Experience in creating efficient, scalable & quality data models, with an appreciation of different data modelling approaches such as Kimball's dimensional modelling, Data Vault etc
Programming and data manipulation skills using SQL, Python and experience with modern data tech stack such as dbt, Snowflake/Databricks, Redshift, Azure Data Factory, Power BI, Qlik, Looker
Previous application of DataOps tools and best practices in your data workflows
Ability to guide projects forward independently and also provide support to more junior team members
Previously worked on medium to large-scale data engineering projects in enterprise environments
Experience delivering engagements for clients and the ability to engage with senior-level stakeholders
Take ownership, always stepping up to help and prioritising your teammates. You're also a clear, kind communicator who makes sound decisions based on good judgement
