MuchBetter
Data Engineer – Snowflake

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The Company
MuchBetter is transforming the payments space with a suite of innovative products, including our digital wallet, contactless wearables, and cash vouchers. The MuchBetter Wallet lets customers spend, send, and store money securely on their mobile phones, with the option to pair smart wearables for effortless contactless payments. Our ecosystem continues to grow: MuchBetter Gateway powers e-commerce through localized payment processing, while our newest product—the MuchBetter Business app—gives companies a simple, scalable way to manage payments through one smart API, improving checkout performance, reducing fraud, and increasing customer loyalty.
Role Overview
We are looking for a Data Engineer with strong hands-on Snowflake experience to help build and maintain our Snowflake data warehouse. Working within our established medallion (bronze / silver / gold) architecture, you'll build and maintain automated pipelines using Streams, Tasks, and Dynamic Tables, and help produce well-modelled, BI-ready data sets. This is a hands-on engineering role with genuine scope to grow into a more senior architecture, governance, or team-lead position as our platform matures.
Key Responsibilities
- Build and maintain data pipelines and models within our Snowflake data warehouse, working within an established medallion (bronze / silver / gold) architecture.
- Develop and support automated, event-driven data pipelines using Snowflake Streams and Tasks.
- Build and maintain Dynamic Tables to simplify and automate transformation logic.
- Support the development of dimensional models (star/snowflake schemas, fact and dimension tables) to underpin analytics and BI use cases.
- Work with BI teams and business stakeholders to build data models that support dashboards and reporting tools.
- Follow, and help improve, data governance practices, including data quality checks, access control, and metadata management.
- Contribute to automation of the data platform, including pipeline testing, monitoring, and alerting.
- Monitor Snowflake performance and cost, flagging optimisation opportunities such as warehouse sizing, clustering, and query tuning.
- Collaborate with data analysts, software engineers, and product teams to translate requirements into working data solutions.
- Contribute to the growing use of Snowflake features such as Semantic Views, under guidance, as our platform and governance practices mature.
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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
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Essential Skills & Experience
- Minimum 2 years' hands-on experience with Snowflake, including SQL development and day-to-day warehouse use.
- Experience working within, or contributing to, a medallion (bronze / silver / gold) architecture.
- Practical experience with Snowflake Streams and Tasks.
- Experience with Dynamic Tables, or a strong appetite to pick these up quickly.
- Working knowledge of dimensional modelling concepts (star schemas, fact/dimension tables).
- Experience integrating Snowflake with at least one BI tool (e.g. Power BI, Tableau, Looker).
- Strong SQL skills.
- Some experience automating data pipelines or workflows (e.g. dbt, Airflow, Python, CI/CD).
- Understanding of core data warehousing and ETL/ELT concepts.
- Good communication skills, with the ability to work with both technical and non-technical stakeholders.


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Desirable Skills & Experience (Growth Areas)
- Exposure to data governance practices or tooling (e.g. lineage tracking, data cataloguing, role-based access control).
- Interest in, or exposure to, Snowflake Semantic Views.
- Familiarity with additional Snowflake features such as Time Travel, Zero-Copy Cloning, or Snowpark.
- Experience with dbt for transformation and testing.
- SnowPro Core certification (or working towards).
- Appetite to grow into a more senior architecture, governance, or team-lead role over time.
- Experience supporting or mentoring junior colleagues.
Core Competencies
- Detail-oriented, with a focus on building robust, well-modelled data pipelines.
- Proactive about automation and reducing manual effort.
- Good collaborator across engineering, analytics, and business functions.
- Eager to develop technically and grow with the platform.
Technical Environment
Snowflake · Streams & Tasks · Dynamic Tables · Semantic Views · Medallion (bronze/silver/gold) architecture · Dimensional modelling · dbt / Python / orchestration tooling · CI/CD for data pipelines · BI tools (e.g. Power BI, Tableau, Looker)
Benefits
- Bupa Health & Dental Care for you and your immediate family
- Pension scheme
- Group Life Insurance scheme
- 26 days’ annual leave plus national bank holidays
- Professional qualification support
- Employee Assistance Programme
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