Senior Analytics Engineer

Responsibilities

We are representing a confidential cloud platform organization seeking a Senior Analytics Engineer to join their Data Science and Engineering team. In this role, you will transform complex platform and business data into actionable insights that drive product improvements and strategic decisions.

Your core responsibilities will include:

• Data modeling and architecture: Design and build models that transform raw data into meaningful metrics and data products using DBT and medallion architecture principles.
• Metric design and ownership: Define success metrics for products, establishing and monitoring key business indicators that matter.
• Cross-functional collaboration: Partner with both technical and non-technical teams to gather requirements, share methodologies, and promote data best practices across the organization.
• Technical leadership: Lead data modeling initiatives, select appropriate tooling, and architect scalable solutions for projects involving Salesforce integration, financial data modeling, and cloud cost optimization (FinOps).
• Scalable solutions: Build efficient data pipelines that handle datasets of all sizes, including petabyte-scale workloads, enabling data-driven decision making organization-wide.
• Strategic advisory: Guide partner teams by developing and communicating analytical metrics that illuminate how data impacts different aspects of the product and business.
• Operational efficiency: Improve team processes and code quality by creating well-documented, reusable solutions that scale with the organization.

You will work with a modern data stack including SQL, Python, DBT, Hex, Metabase, and GCP data tools (BigQuery), along with AWS S3, Fivetran, Hightouch, and emerging AI tools.

What We're Looking For

Required qualifications:

• Strong production experience with SQL and DBT, demonstrated in real-world environments
• Solid proficiency in Python, Git, and CI/CD workflows
• Proven experience building data models for large datasets (up to petabytes) in cloud platforms such as GCP or AWS
• Track record of making sound technical tradeoffs and communicating decisions effectively to diverse audiences
• Demonstrated ability to work asynchronously in a remote, globally distributed team environment
• Strong problem-solving mindset with curiosity about new tools and technologies
• Experience creating and documenting solutions for both technical and non-technical stakeholders
• Excellent time management and cross-team collaboration skills

Bonus qualifications:

• Prior experience with FinOps principles or FOCUS data models
• Experience or interest in building AI data agents and modern AI-assisted data workflows

Location and work authorization: This is a fully remote position for candidates located in France, Spain, or the United Kingdom. You must be legally authorized to work in one of these countries; visa sponsorship is not available.

How We Work With You

As Get A Job.ai, we partner with leading technology organizations to connect exceptional talent with transformative opportunities. When you apply through our platform at getajob.ai, here's what happens:

• Our recruiting team reviews your application and conducts an initial screening to understand your background, technical skills, and career goals
• If there's a strong match, we prepare and submit your profile to our client for consideration
• You'll be guided through the client's interview process, which includes approximately 4 video interviews with various team members including the hiring manager, team members, and executive leadership
• We provide support and feedback throughout the entire process

Important: Please apply exclusively through Get A Job.ai. Do not attempt to contact the client directly, as this may disqualify your application.

Pay

Compensation details will be discussed during the screening process and will be competitive based on your experience and location.

Equal Employment Opportunity: Get A Job.ai is committed to creating a diverse and inclusive recruiting process. We welcome applications from candidates of all backgrounds and provide equal opportunity regardless of race, color, religion, sex, national origin, age, disability, or any other protected characteristic.