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Jobs(26,659)/Analytics Engineer Role(104)/swap (5) - Analytics Engineer
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swap - Analytics Engineer

Remote - London, United Kingdom3mo ago
RemoteEMEAOil & GasAnalytics EngineerdbtData QualityGovernanceAirflowSQL

Requirements

• Hands-on orchestration experience, with tools like Airflow or Dagster. • Strong SQL and a good grasp of data modelling patterns. • Experience with a modern cloud data warehouse, such as Snowflake or BigQuery. • Confidence with Git and version control. • Clear communication, and the ability to work well with technical and non-technical colleagues. • A detail-oriented mindset, and a drive to keep learning and build data products people can trust. • Diversity & Equal Opportunities: • We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.

Responsibilities

• dbt Development: Scale our dbt project, shaping its architecture and CI/CD processes to support company-wide initiatives. • Data Modelling & Architecture: Contribute to our data modelling strategy, helping to build and maintain the core set of performant, scalable, and trusted data models that power all downstream consumers—from our internal BI tool to our customer-facing agentic systems and analytics APIs. • Data Quality & Governance: Champion and implement robust data quality standards, PII governance, testing, and documentation to ensure our data is trustworthy and reliable as we scale. • Stakeholder Partnership: Partner with commercial (Sales, Finance) and product teams on data needs, assisting in translating business questions into data requirements and helping to manage delivery expectations. • BI & Self-Service Enablement: Contribute to the development and refinement of foundational data assets in our BI tool (Lightdash), helping stakeholders and analysts access insights effectively. • What we would like to see • Solid experience in a data-focused role such as Analytics Engineering, Data Engineering, or BI Development, or equivalent academic experience. • Hands-on experience with dbt (dbt Core/Cloud). • Strong proficiency in SQL and good understanding of data modelling patterns. • Experience with a modern cloud data warehouse (Snowflake, BigQuery etc). • Experience with version control using Git. • Good communication skills with the ability to collaborate effectively with both technical and non-technical stakeholders. • A detail-oriented mindset with a willingness to learn and contribute to building trustworthy data products. • Diversity & Equal Opportunities: • We embrace diversity and equality in a serious way. We are committed to building a team with a variety of backgrounds, skills, and views. The more inclusive we are, the better our work will be. Creating a culture of equality isn't just the right thing to do; it's also the smart thing.

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