Lead Data Engineer

/  / Lead Data Engineer# Lead Data Engineer

Location:

Leeds Date Posted:
** This role is Hybrid and will require one day a week in the Leeds office.
** At ASK BOSCO we’re building an intuitive AI-powered reporting and forecasting platform that answers complex marketing questions for a variety or brands and agencies. We’re proud to be backed by leading investors, having recently secured £4.1mto accelerate our growth, expand into the US, to help agencies and brands optimise their ad spend. Founded in the UK by the team behind Modo
25, we operate globally with a flexible, people-first culture. We encourage diversity and champion a healthy work-life balance—because we believe that rested, happy people build the best technology.  We don’t just say we’re a great place to work; we have the accolades to prove it. We are officially recognised as one of the Best Small Companies to Work Forin the UK.

** The Role
** As our Lead Data Engineer at ASK BOSCO you will build robust data pipelines, design scalable data architecture, and collaborate with Developers, Data Scientists and Data Engineers to deliver insights that drive millions in revenue for our clients. Reporting directly to the VP of Engineering, you will play a pivotal role in defining our technical strategy.
** At ASK BOSCO, you will:*
* * Own the Architecture:
Manage and optimise our end-to-end data infrastructure and ELT pipelines using Fivetran, Airbyte, and Google Cloud Platform, ensuring a reliable flow of data from 40+ marketing sources (Meta, Google Ads, Shopify) into our analytics ecosystem.
* Master Data Modeling:

Develop, test, and maintain complex DBTmodels. You will specifically focus on transforming raw data into highly optimised Star Schemastailored for Thought Spot, ensuring lightning-fast search and analytics performance for end-users.
* Empower Intelligence:

Bridge the gap between data and visualisation, managing models that enable self-service analytics in Thought Spot, allowing our AI Analyst to query data instantly.
* Lead

Innovation:

Drive the continuous improvement of our data engineering practices, tooling, and infrastructure. You will champion the use of new technologies and automation tools like n8n.
* Mentor & Collaborate:

Act as a technical authority within the team, mentoring junior engineers and collaborating with Data Scientists to prepare data for machine learning models.
** We’re looking for:*
* * 6+ years’ experience building production-grade data pipelines and analytics infrastructure.
* Deep expertise in DBT (Cloud not required), with strong SQL skills and proven experience designing scalable data models.
* Experience delivering Star Schemas optimised for search-driven analytics, ideally Thought Spot.
* Hands-on experience with Google Cloud Platform (Big Query), with the ability to tune queries for both cost-efficiency and performance.
* Proven experience implementing and managing modern ELT tools such as Fivetran or Airbyte.
* Python experience is a strong plus.
* Git knowledge is a strong plus.
* Experience with SaaS and marketing data sources such as Google Ads, Meta, Shopify, Amazon, Klaviyo, Hub Spot, Stripe.
* Familiarity with AI-assisted development tools (e.g., Cursor, DBT Copilot) and a desire to leverage cutting-edge technologies to enhance productivity.
* A passion for debugging complex data issues and resolving root causes.
* Excellent communication skills, with the ability to translate technical concepts into clear business value for non-technical stakeholders.
** At Modo
25/ASK BOSCO, everybody is invited with open arms.
** We believe that fostering an inclusive and fair work environment is at the heart of our mission. As an equal opportunity employer, we embrace individuals from all walks of life, irrespective of race, colour, nationality, ethnicity, religion, national origin, sexual orientation, age, marital or family status, disability, gender identity or expression or any other legally protected status. We strive for a culture that celebrates and incorporates diverse backgrounds and experiences.

To anyone who is reading this, regardless of who you are, we extend a warm and heartfelt welcome. We are thrilled to have you join us!
** Team member benefits:
** We want to attract the best people, so we’re offering competitive salaries and excellent employee packages that include:
* 4-day week – we work smarter so that we can work a shorter week
* 23 days annual leave
* Fantastic benefits package that includes health insurance, a discounted Apple Watch, discounted gym membership and retail/leisure savings (e.g. free Caffe Nero coffee, Amazon Prime membership, free Vue tickets, retail vouchers)
* Flexible working
* Central Leeds office
* Electric Car scheme
* Office dog (you need to feel comfortable in the company of  our well behaved office dog, Roxy)
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