About the Role

We're seeking a passionate and talented Senior Business Intelligence Engineer to join our Data team. In this hybrid role (2 days in-office), you'll create and manage data pipelines, dashboards (Looker, Tableau and Power BI), and architecture for advanced global clients.

About Adaptive & Co.

Adaptive & Co. is a leading Digital Analytics & Performance Marketing Consultancy specialising in analytics, measurement, analysis, insights, strategy, and data activation.

As Certified Google Marketing Platform Partners, we excel in the Google Stack (Google Analytics, Google Tag Manager, BigQuery, Google Cloud, Data Studio/Looker, Google Ads) and a wide range of enterprise MarTech platforms (CRMs like HubSpot and Salesforce, MAPs like Marketo and Pardot, Warehouses like Amazon, Azure, and Snowflake, Visualization tools like Power BI and Tableau, and Advertising platforms like Google Ads, Meta, TikTok, and LinkedIn).

We value positivity, hard work, and a collaborative team spirit and individuals who are:

• Results-oriented: Driven to achieve exceptional results and exceed client expectations.

• Proactive & Independent: Able to take ownership of projects and work effectively independently and as part of a team.

• Growth-minded: Eager to problem solve, learn, and stay abreast of the latest industry trends and technologies.

• Communicative & Collaborative: Strong interpersonal and communication skills with the ability to build and maintain strong client relationships.

Key Responsibilities:

• Data Engineering: Design and implement robust, scalable data pipelines (ETL/ELT) to extract, transform, and load data from diverse sources (marketing platforms, advertising networks, customer databases).

• Data Modeling & Architecture: Develop and maintain high-quality data models, schemas, and database architectures for efficient storage, retrieval, and analysis of marketing and business data.

• Data Quality & Consistency: Ensure data accuracy and reliability through rigorous data transformation processes (cleansing, aggregation, enrichment).

• Data Visualization, Business Intelligence & Reporting: Create and maintain insightful and visually strong dashboards, reports, and visualisations using BI tools (Looker/Data Studio, Tableau, Power BI) to empower stakeholders and clients with actionable insights.

• Stakeholder Collaboration: Collaborate effectively with stakeholders to translate business requirements into robust technical solutions, aligning with data governance and security best practices.

• Data Infrastructure Optimization: Monitor and optimise data infrastructure performance, proactively identifying and resolving issues related to data quality, latency, scalability, and system efficiency.

• Continuous Learning: Stay abreast of the latest advancements in business intelligence, data warehousing, and digital marketing analytics, and proactively recommend process improvements and tool adoption.

Required Skills & Qualifications:

• Proven Experience: Minimum 5 years of hands-on experience as a Data Engineer, Data Modeler, Data Architect, Analytics Engineer, or BI Engineer, translating requirements into effective technical solutions.

• Data Expertise: Proven experience with data modelling (including dimensional modelling), data warehouse design, building ETL/ELT pipelines, and end-to-end analytics solutions.

• Technical Proficiency: Strong SQL proficiency and extensive database experience (Google BigQuery is a must).

• BI Tooling: Hands-on experience with business intelligence tools and data visualisation platforms (Looker, Tableau/Power BI, Looker) to create interactive, insightful, and visually strong dashboards and reports.

• Data Foundations: Solid understanding of data modelling, database design principles, and data warehousing concepts.