Job Opportunities API

Requirements • This is a hands-on technical role suited to someone with a strong command of dbt and Databricks who is passionate about data quality, modelling best practice, and enabling genuinely self-serve, data-driven decisions , • Proven experience working as an Analytics Engineer, Data Engineer, or similar role , • Deep proficiency in SQL for data transformation and analysis , • Strong hands-on experience with dbt (Data Build Tool) on Databricks, including advanced modelling techniques, test writing, and performance optimisation , • Solid understanding of dimensional modelling and modern data stack principles , • Familiarity with version control systems (e.g., Git) and collaborative workflows , • Strong communication skills with the ability to communicate clearly and work independently with minimal supervision , • A proactive, curious mindset: comfortable identifying problems and opportunities rather than only working from a ticket , • (Desirable) Experience working with subscription-based business models and datasets is highly desirable , • (Desirable) Broader experience with cloud data platforms such as Azure, and familiarity with Databricks features beyond dbt, such as Delta Lake or Unity Catalogue , • (Desirable) Familiarity with data visualisation tools and BI tools and their data requirements , • (Desirable) Previous involvement in large-scale data migration or re-platforming projects What the job involves • We are looking for an experienced Analytics Engineer to join our Data function on a permanent basis, playing a key role in building the data foundation that powers insight, self-serve analytics and AI-driven decision making across Immediate , • Reporting to the Lead Analytics Engineer, you will be instrumental in developing scalable, well-tested data models that are built to be used directly by people across the business, not just to power dashboards , • You will contribute across the full data modelling lifecycle, from design and development through to testing, documentation and enablement, working as part of a collaborative, cross-functional data team , • We are moving from a reactive, request-driven reporting culture to one where the data team proactively shapes decisions. That means curiosity about the business beyond the ticket in front of you, a willingness to challenge how things have always been done, and comfort with ways of working that are still evolving as we build them , • Provide subject matter expertise to help shape and guide the overall data modelling strategy across our data domains , • Design and implement dbt models on Databricks to support a comprehensive and unified view of subscriptions and content data , • Build data products, not just reports well-modelled, reusable data sets that power dashboards, self-serve querying and conversational analytics tools, with clear lineage back to source , • Contribute to the ongoing evolution of our data platform by identifying and delivering improvements to data quality, coverage, and performance , • Serve as a subject matter expert on data modelling, supporting analysts and stakeholders in understanding and using our data assets effectively , • Design and implement scalable and maintainable dbt models on Databricks across our core data domains, including subscriptions and content , • Create and maintain a suite of dbt tests to ensure data quality, consistency, and trustworthiness , • Collaborate with data analysts, engineers, and business stakeholders to develop and maintain reporting marts that meet evolving analytical needs , • Support the build-out of self-serve and conversational analytics capability, helping design data structures that natural language query tools can reliably and accurately query , • Provide guidance on data modelling best practices, performance optimisation, and modular design in dbt , • Participate in code reviews and knowledge-sharing sessions to uplift team capability , • Tools & Technologies You’ll Work With: , • Databricks (primary data platform for modelling and transformation) , • Dbt for data modelling and transformation on Databricks , • SQL (Databricks SQL / Spark SQL) , • VS Code UI for SQL and dbt coding , • Git/GitHub , • Databricks Workflows / Delta Live Tables for orchestration , • Modern data visualisation and self-serve / conversational analytics tooling