2 days ago Be among the first 25 applicants
This range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.
Base pay range
Up to £80,000
Hybrid (Watford, 3 Days Onsite)
The Company
This UK leading lottery operator is hiring a hands-on Lead BI Analytics Engineer to help scale and automate Business Intelligence operations. They channel £30 million every week to charitable causes, with bold ambitions to double their impact in the next decade.
Why This Role?
You'll play a critical role in owning and optimising data and reporting pipelines, overseeing daily operations and release management, while being technical enough to dive into ETL, AWS, or BI issues as they arise. You’ll lead a small offshore supplier team and ensure smooth, efficient delivery of BI data services across the business.
What You’ll Be Doing:
* Monitor, troubleshoot, and manage daily Data Ops, including ETL workflows and Power BI releases
* Be the escalation point for Level 2/3 support, resolving issues hands-on across AWS (Airflow, S3, Redshift, Glue)
* Lead and coordinate with a team of 5–6 offshore data engineers and suppliers
* Support and automate Power BI deployments and data pipeline releases
* Own release communications and issue resolution across stakeholders
* Work closely with the BI Operations Manager and wider tech/data teams
Tech Stack You’ll Use:
* AWS: Glue, S3, Redshift, Airflow
* Power BI: Deployments, troubleshooting, performance tuning
What You'll Need
* Extensive experience in analytics engineering
* Strong hands-on experience with AWS data tools and Power BI
* Solid understanding of ETL pipelines and data automation
* Prior experience leading offshore teams or suppliers
* Someone who thrives in fast-paced, high-change environments
The Bigger Picture
Not everyone loves gambling, but what’s unique here is the social impact. This organisation redistributes vast revenue toward public services, arts, sports, heritage, and communities, and you'll help make that data work harder, smarter, and faster.
Seniority level
* Seniority level
Mid-Senior level
Employment type
* Employment type
Full-time
Job function
* Job function
Analyst and Engineering
* Industries
Gambling Facilities and Casinos
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