Senior Analytics Engineer

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Office Policy: 3 days in person, 2 days at home each week

Contract type: Permanent, full time

Who We Are:

As one of the fastest growing companies in the UK, we’ve redefined how a for-profit business makes a meaningful social impact. As the first to scale in the UK and reach profitability, Omaze has also raised over £80 million for charities and created close to 40 millionaires through its life changing house and prize draws. In addition to working with beloved charities such as British Heart Foundation, Comic Relief, Alzheimer’s Research UK, RSPCA, and more, Omaze is building a business and culture committed to growth and creating significant social impact on a global scale.

Head to Omaze.co.uk to learn more about our mission.

Why You’ll Love Working at Omaze:

Growth: Omaze is one of the fastest-growing companies in the world.

Impact: Join a team of world changers dedicated to creating a ripple effect of good.

Pioneering: Be part of something no one has done before.

Culture: We work hard, grow together, and spread joy along the way.

Who we’re looking for:

At Omaze, we are taking our internal analytics function to the next level. As Senior Analytics Engineer, you will have sole ownership of analytics engineering at Omaze. You will use industry standard tools and platforms (dbt, Snowflake, ThoughtSpot) to amplify the effectiveness and impact of our (growing) analytics team. You will provide clean, tested, well-documented models, and work with our data engineer to give the team access to new data sources.

What you’ll do:

• Fully own our dbt project, building and maintaining data models in our Snowflake data warehouse, blending and modelling data from multiple sources.
• Work with analysts and engineers to collaboratively design and build new data models as the Omaze product and experience continues to evolve.
• Own accuracy and performance of analytics tooling (ThoughtSpot for business intelligence and Count for deep dive analytics).
• Apply software engineering principles to our data infrastructure, implementing robust testing, documentation, and version control.

Our ideal candidate has:

• 4+ years of data engineering / analytics engineering experience at a high growth company, ideally with hands-on experience of product / BI analytics.
• A mastery of postgres SQL.
• Extensive knowledge of dbt, and experience using its non-standard functionality that can elevate the performance and efficacy of dbt projects.
• Excellent communication skills, and experience working with cross functional teams.
• Experience with industry standard data visualisation tooling, such as ThoughtSpot or Looker.
• A working knowledge of best practice data governance.
• Knowledge of python is a bonus.

What’s In It For You:

• Generous stock options scheme.
• 30 days annual leave PLUS Bank Holidays.
• Annual office closure between Christmas Day and New Year’s Day.
• Private medical and dental insurance.
• 9% employer pension contributions, when you contribute at least 2%.
• £1,200 learning and development budget each year to use on training courses, conferences and professional memberships.
• Personal equipment budget to work from home.
• Enhanced family leave policies.
• Life assurance of 4x your salary.

Our hiring process:

Our hiring process may vary between roles, particularly for technical roles where we may incorporate a technical skills/based interview, but as standard you’ll have:

1. Screening call with one of our in-house Talent Leads.
2. First stage interview with the Hiring Manager.
3. On-site second stage interview with key stakeholders - this could be other managers, peers or Senior team members.
4. Final stage interview with one of our Execs.

On average, our hiring process takes around 2-3 weeks after your initial screening call.

We hire on a rolling basis, so we’ll close the role when we either a) have enough applications to process or b) have hired someone exceptional to fill the position. You’ll hear from us throughout the process, but if you’ve got any questions, please reach out to us at [emailprotected].