At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.
Your MissionAs a Senior Analytics Engineer, you will work on a variety of projects leveraging the Modern Data Stack. Your expertise will focus on technologies such as dbt, Looker, Snowflake, BigQuery, and Google Cloud.
In this role, you will take a leadership position in client engagements, collaborating closely with the Delivery Manager. You'll also provide guidance to the team and contribute to coding tasks when necessary to ensure project success.
What You’ll DoFoundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.
Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.
Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:
Transforming, testing, deploying, and documenting data.
Understanding data modeling techniques.
Optimising and storing data for warehouse technologies.
Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.
Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.
Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.
Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).
Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.
Project Management: Natural ability to manage multiple initiatives and clients simultaneously.
SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.
Business Translation: Experience in translating business requirements into technical solutions.
Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.
Leadership: Experience in managing small teams and a genuine passion for line management.
Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.
dbt Developer certification
Google Cloud Professional Data Engineer certification
Snowflake's Snowpro Certification
Experience with Scrum Methodology
Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!
Are you ready to make an impact?
Apply now and take your career to the next level.
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