At a Glance
- Tasks: Build and maintain data pipelines in our Snowflake data warehouse.
- Company: MuchBetter, a game-changer in the payments industry.
- Benefits: Health care, 26 days annual leave, and a collaborative work environment.
- Other info: Opportunity for career growth into senior roles and mentoring.
- Why this job: Join us to innovate in payments and grow your data engineering skills.
- Qualifications: 2+ years of hands-on Snowflake experience and strong SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
Much Better is transforming the payments space with a suite of innovative products, including our digital wallet, contactless wearables and cash vouchers.
The Much Better 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: Much Better Gateway powers e commerce through localised payment processing, while our newest product—the Much Better 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.
- 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).
- 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.
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.
- Snow Pro 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
- Bupa Health & Dental Care for you and your immediate family
- 26 days’ annual leave plus national bank holidays
- #J-18808-Ljbffr
Data Engineer – Snowflake in Manchester employer: MuchBetter
MuchBetter is an exceptional employer, offering a dynamic work environment where innovation thrives. As a Data Engineer, you'll have the opportunity to work with cutting-edge technology in a collaborative culture that prioritises employee growth and development. With comprehensive benefits including health care and generous leave, MuchBetter supports your professional journey while fostering a strong sense of community within the team.
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We think this is how you could land Data Engineer – Snowflake in Manchester
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We think you need these skills to ace Data Engineer – Snowflake in Manchester
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