Senior Analytics Engineer

Responsibilities

We are representing a confidential gaming technology client seeking a Senior Analytics Engineer to design, build, and scale their analytics platform. This is a hands-on, high-impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well-governed data products.

Analytics Engineering and Data Modelling

• Design, build, and maintain analytics-ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering
• Lead the development of greenfield analytics assets, from raw source ingestion through to curated, business-facing models
• Apply strong data modelling techniques, including dimensional modelling, facts and dimensions, and other appropriate design patterns
• Own and evolve the analytics layer architecture, ensuring it scales with data volume and business complexity
• Ensure data quality and trust through testing, documentation, and observability within dbt

Business Partnership

• Partner closely with business stakeholders, analysts, and product teams to understand requirements and translate them into well-designed data models
• Act as a trusted thought partner, helping stakeholders understand what is possible with data and shaping requirements collaboratively
• Balance technical excellence with pragmatic delivery, focusing on measurable business outcomes

Platform and Best Practices

• Define and embed dbt standards, including naming conventions, model layering, testing strategies, and documentation practices
• Contribute to data architecture decisions, including warehouse design, schema organisation, and performance optimisation
• Improve developer experience through tooling, CI/CD patterns, and modern analytics engineering workflows
• Maintain deep expertise in the analytics technology stack, ensuring optimal performance and effective feature usage

What We're Looking For

Required Skills and Experience

• Proven experience delivering data products, analytics, and visualisations using Business Intelligence tools such as Domo, Tableau, Power BI, Qlik, or similar platforms
• Strong hands-on experience with dbt, including data model design and refactoring, generic and singular testing, documentation and exposures, and sources, snapshots, and macros
• Excellent data modelling skills across conceptual, logical, and physical models, including both third normal form and dimensional modelling approaches
• Advanced SQL skills and experience with modern cloud data warehouses such as Snowflake, BigQuery, or Redshift
• Demonstrated ability to design analytics models that are technically robust and intuitive for business users
• Experience building greenfield analytics or data platforms, or significantly evolving existing ones
• Experience with data quality and observability, using dbt or complementary tooling
• Familiarity with orchestration tools such as Airflow, Dagster, or Prefect
• Experience with semantic layers, metrics frameworks, or analytics consumption patterns
• Exposure to data governance, access control, or analytics enablement at scale
• Experience mentoring or supporting junior analytics engineers or analysts
• Strong track record of partnering effectively with business teams to deliver outcomes
• Undergraduate degree in a related field, or an equivalent combination of education and experience

Desirable Attributes

• Comfort operating in ambiguous or evolving data environments
• Strong focus on clean design, maintainability, and long-term sustainability
• Pride in building trusted data assets that are widely adopted and valued
• Ability to be opinionated yet pragmatic, clearly explaining trade-offs and adapting when required
• Experience maintaining high technical delivery standards, including documentation and end-user self-service enablement
• Collaboration with business, product, and engineering teams to deliver scalable and flexible solutions

Nice to Have

• Extensive experience with Domo
• Hands-on experience with Snowflake
• Exposure to web technologies such as JavaScript, HTML, and CSS
• Experience in web analytics or related domains
• Knowledge of statistical methodologies
• Exposure to data science or advanced analytics use cases
• Experience developing on AWS

How We Work with You

When you apply through Get A Job.ai, our talent team will review your application and conduct an initial screening. If your background aligns with our client's requirements, we will submit your profile to them for consideration. Please do not contact the client directly—all communication flows through our recruiting team to ensure a professional and coordinated process.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity Statement: Get A Job.ai is committed to fair and equitable hiring practices. We welcome applications from all qualified candidates regardless of background, identity, or protected characteristics.