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# Lead Analytics Engineer

- **Company:** Software Careers
- **Location:** Greater London, UK (Remote available)
- **Experience:** Expert
- **Salary:** £85,000.0 - £125,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Data Analysis, Data Infrastructure, Data Presentation, Python (Programming Language), Standard Sql, SQL Databases, Business Intelligence Development Studio, Core Data, Looker Analytics
- **Published:** August 30, 2026
- **Apply:** https://www.collegerecruiter.com/job/2815451094-lead-analytics-engineer

## About the Role

proficiency in SQL and Python is a must.\* \*\*Data Pipelining & Modelling\*\*: Proven experience in building robust analytics pipelines and designing effective data models.\* \*\*Orchestration Mastery\*\*: Hands-on experience using an orchestration tool like Airflow.\* \*\*Project Leadership\*\*: Strong capabilities in project management and communication, with a track record of driving initiatives.\* \*\*Impactful Storytelling\*\*: Excellent storytelling ability with data, translating complex insights into clear, actionable narratives.\* \*\*Python Development\*\*: Demonstrated ability to build practical solutions using Python.\* \*\*Stakeholder Empathy\*\*: Able to build strong empathy for your stakeholders and internal customers, proactively identifying and solving their problems.\* \*\*BI Tooling\*\*: A driver of best practices regarding Business Intelligence Tools like Looker or Superset.Our Offer:\* Base salary: £85-125k gross / year (based on experience & interview outcomes)\*
Restricted Stock Units (RSUs)\* Numerous best-in-class benefits\* Flexible working - whether it's working from home, school plays or life admin, we get that flexibility is essential, and you're trusted to do the right thing and be responsible.\* Paid annual holiday, sick days, parental leave, and other leave opportunities.\* 6 weeks of paid sabbatical after 4 years at Wise on top of annual leave.We're people building money without borders - without judgement or prejudice. We believe teams are strongest when they are diverse, equitable, and inclusive. We're proud to have a truly international team and celebrate our differences, ensuring every Wiser feels respected, empowered to contribute towards our mission, and able to progress in their careers.### Skills Required* SQL* Python* Data Pipelining* Data Modelling* Airflow* Project Management* Communication* Data Storytelling* Looker* Superset* dbt* AI Applications* Business Intelligence Tools
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## Description

quickly.Here's how you'll be contributing to the Analytics Engineering team:\* \*\*Lead and Mentor\*\*: Work closely with Analysts within one of Wise's squads, spending significant time mentoring them directly to establish best practices around infrastructure, monitoring, testing, and data modelling.\* \*\*Strategic Roadmap\*\*: Take ownership of defining and driving the data infrastructure roadmap for your assigned tribe, ensuring strategic alignment and efficient execution.\* \*\*Core Data Sets\*\*: Play a key role in building and maintaining core datasets, ensuring data quality and accessibility.\* \*\*Tooling Evangelist\*\*: Become the go-to expert for new tooling like dbt & AI applications, leading its adoption and successful rollout across the organization.\* \*\*Best Practices Driver\*\*: Strategically assess and implement data modelling best practices within your squad, elevating our data capabilities.What do I need to bring to the role?\* \*\*Technical Expertise\*\*: Advanced


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