Data Engineer

Duel; Bristol; Hybrid; GBP 70,000 - 75,000; Full time

Job summary

Duel, a leading SaaS company, is seeking a Data Engineer to implement and manage a full-scale data warehouse using Snowflake and Kafka. The role involves shaping data accessibility and usability across teams, ensuring compliance with data regulations, and driving the integration of AI solutions. Ideal candidates will have over four years of experience in data engineering, strong problem-solving skills, and the ability to thrive in a fast-paced environment.

Benefits

Flexible working hours

32 days of Annual Leave

Options scheme for all full-time employees

Company MacBook to work from

£350 WFH Set-Up

Headspace Contributions

Personal Development budget and support

2 additional days leave for volunteering

Qualifications

• 4+ years of experience in a data engineering role, preferably in SaaS or MarTech.
• Strong problem-solving skills and ability to work in cross-functional teams.
• Experience with SQL, Python, Snowflake, and Kafka or similar technologies.

Responsibilities

• Take ownership of the data warehouse infrastructure, including Snowflake and Kafka.
• Maintain and optimize the platform to integrate new data sources.
• Ensure data pipelines comply with UK and US data laws.

Skills

SQL

Python

Snowflake

Kafka

MongoDB

Elasticsearch

Power BI

Looker

Tableau

AWS

GCP

Azure

Terraform

dbt

Apache Airflow

TypeScript

Job description

Data Engineer
Hybrid: Remote/Bristol
Salary: £70,000 - £75,000

About Us

Duel is a SaaS company on a mission to make Brand Advocacy the industry standard playbook for building brilliant retail brands. It was founded by world record breaking adventurer and former brand ambassador Paul Archer, alongside viral games developer Naio Tsarouchis, and we exist to show there’s a better way to build businesses, to build a better future, proving that caring for people builds brand, which builds long term and exponential profit returns.

The Duel Brand Advocacy Platform allows enterprise brands to do just that, scaling how they manage their relationships with thousands of advocates, customers, creators and brand ambassadors. We’re proud today that brands such as Abercrombie & Fitch, Charlotte Tilbury, Spanx, Victoria’s Secret and Elemis (to name a few, but not to name some household names that we can’t talk about yet) are doing just that. The Duel team comprises psychologists, brand experts and community builders, combining cutting edge brand expertise, with seasoned SaaS experience.

The Role

We are implementing a full-scale data warehouse using Snowflake and Kafka. To ensure long-term success, we’re hiring a dedicated Data Engineer to own and maintain this system.

As our first dedicated Data Engineer, you will help shape how data is structured, accessed, and used at Duel. You'll work across multiple functions, ensuring that data is not only available but also meaningful and usable to those who need it, whether that’s engineers, product managers, or customer success teams.

We’re growing fast, but determined to retain the culture and agility of a small engineering team. That means being part of discussions, sharing knowledge openly, and embracing an iterative, action-oriented mindset. We are looking for someone who thrives in a fast-moving, high-impact environment, where they can drive change and own how data is leveraged across the company.

This role is about more than just technical capability. The right person will be a problem solver, a strong communicator, and an active contributor to a growing, high-impact team

We’re Looking for Someone Who Will…

• Take full ownership of the data warehouse infrastructure, including Snowflake and Kafka, once the initial architecture is in place.

• Maintain, optimise, and extend our platform to integrate new data sources and support evolving business needs.

• Ensure performance, security, and cost efficiency as data volume grows.

• Work with engineering teams to ensure data is modeled correctly for business intelligence and AI-readiness.

• Support the future integration of AI by ensuring that data is clean and structured for machine learning and model development in later phases.

• Act as the bridge between engineering, data science, and customer success.

• Work with product managers to ensure they have access to the right data for decision-making.

• Support the company's self-serve data model, ensuring teams can efficiently access the data they need without unnecessary dependencies.

• Ensure data pipelines comply with UK and US data laws, including GDPR and the California Consumer Privacy Act (CCPA).

• Implement governance best practices to ensure data accuracy, lineage, and controlled access.

We’d love to hear from you if you..

• Have 4+ years of experience in a data engineering role, preferably in SaaS, MarTech, or a data-driven environment.

• Have the ability to break down complex problems, investigate effectively, and drive solutions.

• You enjoy working in cross-functional teams, including engineering, product, and customer success.

• You thrive in an autonomous environment, taking ownership, spotting issues and making decisions independently while keeping teams aligned and informed.

• You work iteratively, preferring to ship quickly, get feedback, and refine solutions rather than over-planning in isolation.

• Value creating systems and processes that allow other teams to move faster and be more self-sufficient.

• Shares work openly, documenting decisions and keeping key stakeholders informed.

• Comfortable navigating uncertainty and helping shape solutions without needing a rigid roadmap.

Technical Skills

• You have experience with SQL, Python, Snowflake, and Kafka or similar technologies.

• You have experience with databases such as MongoDB and Elasticsearch.

• You have experience integrating with business intelligence tools such as Power BI, Looker, Tableau, or Metabase.

• You understand cloud data ecosystems such as AWS, GCP, or Azure.

• You have experience with infrastructure as code, using tools such as Terraform.

• You have experience structuring data for AI and machine learning is a plus but not mandatory.

• You enjoy building and maintaining data warehouse solutions, with Snowflake.

• You understand event-driven architectures and real-time data processing

• You have experience implementing and maintaining scalable data pipelines using tools like dbt, Apache Airflow, or similar.

• You have no issue working with either structured or semi-structured data.

• You are comfortable working with data engineering and scripting languages such as Python or Go.

• You have an awareness of TypeScript,(as it’s the main language used across the engineering team).

In-person and remote working balance ...

• We have small HQ’s in Bristol & London (Holborn) with a growing team of people on the ground in our NYC office also.

• Although our approach to hybrid working is flexible (we don’t mandate specific days in office), priority for this role will be given to candidates who are available to travel to the Bristol office and keen to spend some days each month in a shared space partnering with the VP of Technology and wider engineering team on shared projects.

Why Duel

We want to build a remarkable company with remarkable people and a remarkable culture that you will want to shout from the rooftops about. In a relaxed, flexible, and fun environment, the team is driven to making the business a success while enjoying what we do and who we do it with.

We have a growing benefits package, including;

• Flexible working hours - if you need to fit around childcare or need to work around your life, we understand.

• Around 32 days of Annual Leave (28 excluding bank holidays and an extended break between Christmas and New Year, when we close the office). On-going training where required.

• Options scheme for all full-time employees - it’s important to us that everybody owns a part of the company and shares in the benefits of what we build.

• Company MacBook to work from

• £350 WFH Set-Up

• Headspace Contributions

• Personal Development budget and support

• 2 additional days leave for volunteering