Analytics Engineer

Dojo; Greater London; On-site; GBP 60,000 - 90,000; Full time

Job summary

Dojo is transforming payments in the UK and seeking an Analytics Engineer to own analytical engineering workstreams, delivering high-quality data products and reusable standards across the data ecosystem. You will build scalable pipelines and dashboards, collaborating with the Partnerships and Sales teams to unlock business value.

You will work hands-on with BigQuery, dbt, Airflow, Airbyte, Fivetran, and Python to automate workflows, ensure data quality, and operationalise analytical solutions

Qualifications

• Strong SQL skills and hands-on experience building models with dbt.
• Experience with cloud data warehousing (BigQuery) and BI platforms (Looker).
• Familiarity with orchestration systems like Airflow and ingestion tools like Airbyte or Fivetran.
• Practical Python skills for automation and testing.
• Independent judgment regarding data quality and maintainability.

Responsibilities

• Own analytics engineering work stream end to end, transforming stakeholder needs into robust data products.
• Build performant data pipelines in BigQuery using dbt, and design insightful data visualisation
• Develop scalable, performant, and reliable pipeline orchestrations using Airflow, dbt, Airbyte, and Fivetran.
• Use Python to automate workflows, validate data quality, and streamline analytical operations.
• Contribute to shared standards, design reusable metrics, and actively pay down technical debt to keep our platform healthy.
• Leverage AI tools responsibly to accelerate modelling, testing, and documentation without losing technical ownership.

Skills

SQL proficiency

Analytical mindset

Independent decision making

Business-facing communication

Tools

dbt

BigQuery

Looker

Airflow

Airbyte

Fivetran

Python

Job description

We’re reinventing payments.

In less than four years, Dojo disrupted the market to become the largest and most loved acquirer in the UK. Our payments infrastructure, purpose-built for in-person commerce, is game changing.

Now, over 150,000 customers across four countries choose to transact billions with us every year. But we’re just getting started.

Our people are the driving force behind our success. They are our greatest investment and our ultimate competitive advantage. We hire exceptional people and give them the autonomy, trust, and ownership to thrive. The results take care of themselves.

The Role...

We are looking for an Analytics Engineer who can independently own analytical engineering workstreams, deliver high-quality data products, and contribute to reusable standards across the data ecosystem. This person will combine strong technical craft with business understanding. They will work hands-on data integration, transformation, building data warehouse and data products using dbt, Airflow, BigQuery, and BI tools while delivering business value to Dojo and our Customers.

About The Team…

Our team is responsible for building data solutions to incentivise and compensate our Partnerships and Sales channels. These solutions pay out tens of millions of pounds monthly, and have a material impact on dojo’s commercial performance.

What You Will Do...

• Own your analytics engineering work stream end to end, transforming stakeholder needs into robust, scoped data products.
• Build performant, cost-conscious data pipelines in BigQuery using dbt, and design insightful data visualisation
• Develop scalable, performant, and reliable pipeline orchestrations using Airflow, dbt, Airbyte, and Fivetran.
• Use Python to automate workflows, validate data quality, and streamline analytical operations.
• Contribute to shared standards, design reusable metrics, and actively pay down technical debt to keep our platform healthy.
• Leverage AI tools responsibly to accelerate modelling, testing, and documentation without losing technical ownership.

What You Will Bring...

• Driven by technical quality, motivated by business impact
• A background in analytical engineering, data engineering, or a related data-focused role.
• Strong SQL skills and hands-on expertise building models with dbt.
• Experience with cloud data warehousing (preferably BigQuery) and BI platforms (ideally Looker).
• Familiarity with orchestration systems like Airflow and ingestion tools like Airbyte or Fivetran.
• Practical Python skills to support automation and testing workflows.
• Sound judgment regarding data quality, maintainability, and the ability to independently guide technical decisions.

Dojo home and away

We believe our best work happens when we collaborate in-person. These together days foster communication, drive innovation and spark our brightest ideas.

That’s why we have an office-first culture. This means working from the office 4+ days per week.

With offices across Europe, we know a thing or two about staying dynamic. Need deep focus? Head to a quiet zone. Big ideas? Collaboration spaces have you covered. Just here for a catch-up? Our social hubs make it easy. Do work that counts, in spaces made for you.

Question: what's curious, relentless, and customer obsessed?

If you’re keen to know the answer, you’re a third of the way to meeting our Dojo values.

You’re curious. You have a real desire to learn and create.

You’re relentless. You keep going even when it’s easier not to.

You’re customer-obsessed. You know how important customers are to what you do.

Diversity, equity, and inclusion at Dojo

From local bakeries to well-known eateries, Dojo payments serve over 150,000 places across the UK.

And something that’s fundamental to creating relevant, innovative products at Dojo is to build teams to reflect the diversity of the businesses we serve.

Our drive to improve diversity, equity, and inclusion is closely linked to helping employees thrive and innovating for better customer experiences.

If you care about your work, you’re curious, and you think customer-first, you have a place at Dojo.

To make sure you’re the best you can be throughout the recruitment process, let us know if you need any extra adjustments to help you thrive.