Senior Data Engineer

Your new company
An established and fast‑growing technology organisation is on a mission to transform digital connectivity across the UK. With a focus on building and operating high‑speed fibre networks, the business is committed to delivering world‑class broadband services to communities and supporting a data‑driven future. You'll be joining a forward‑thinking environment that values innovation, collaboration, and continuous improvement.

Your new role
As a Senior Data Engineer, you will play a pivotal role in shaping and enhancing the organisation's enterprise data platform. Working within a specialist Data Analytics & AI team, you'll be responsible for designing, building, and maintaining scalable data pipelines and models within Snowflake to support analytics, reporting, and data‑led decision‑making across the business.You will translate data architecture strategies into high‑quality technical solutions, optimise performance and cost, and ensure the data platform is reliable, secure, and well‑structured. This includes developing ELT/ETL pipelines using tools such as dbt and Argo Workflows, implementing data quality and governance practices, and leveraging advanced Snowflake features to drive automation and efficiency.Collaboration is key-you'll work closely with analysts, data consumers, and business stakeholders, enabling them through well‑designed data models and providing technical support where needed. You'll also contribute to monitoring, CI/CD processes, and ongoing improvements to engineering standards across the team.

What you'll need to succeed

Proven experience delivering cloud‑based data engineering solutions, ideally centred around Snowflake
Strong skills in SQL, Python, and dbt for data modelling and transformation
Experience with Snowflake RBAC and performance optimisation
Familiarity with ingestion/replication tools such as Airbyte, Fivetran, Hevo, or similar
Understanding of cloud technologies (AWS preferred)
Knowledge of data modelling, governance principles, and best‑practice engineering standards
Experience supporting BI/reporting tools such as Power BI
Solid grounding in version‑controlled development and CI/CD practices (git)Desirable:

Exposure to enterprise systems like Salesforce, BSS/OSS, telephony, or call‑centre data
Experience in data platform migrations, data validation, and quality assurance
Background in enabling business teams through training, documentation, or adoption support
Familiarity with Terraform or Infrastructure‑as‑Code
A mindset for continuous learning and staying up to date with modern data stack tooling

What you need to do now

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