Data Engineer

Babble Cloud Ltd; United Kingdom; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

12 paid bank holidays

Parental leave

Job summary

Babble Cloud Ltd is seeking a Data Engineer to design, build and maintain a Snowflake-based data platform. You will develop ELT pipelines, create robust data models, and enable analytics for business reporting. You’ll collaborate with analysts, stakeholders and senior engineers to provide reliable data for decision-making.

The role focuses on scalable data solutions, data quality, and efficient data transformations, in a fast-paced cloud environment with BI tooling support.

Qualifications

• Commercial experience as a Data Engineer or in a closely related role.
• Strong SQL skills and hands-on experience building transformations in Snowflake.
• Experience using Snowflake-native tooling, including tasks, streams and OpenFlow or equivalent ELT patterns.
• Solid understanding of data modelling for analytics and reporting.
• Experience supporting Business Intelligence tools, ideally Fabric or Omni.
• Working knowledge of data quality concepts and basic testing approaches.
• Comfortable working in an Agile delivery environment.
• Experience with Lakehouse or medallion-style architectures
• Exposure to CI/CD practices for data or analytics code.
• Experience working in a growing or evolving data function.

Responsibilities

• Build and maintain scalable ELT pipelines in Snowflake, using OpenFlow and native capabilities.
• Develop and maintain data models following a Lakehouse and medallion-style approach.
• Write efficient, readable SQL to transform, test and optimise data for analytics and reporting use cases.
• Implement data quality checks, validation rules and basic monitoring within pipelines.
• Support and enable reporting and self-service analytics within the BI tooling by delivering well-structured, reliable datasets and semantic layer.
• Monitor pipeline performance and Snowflake usage and make pragmatic improvements to reliability and cost efficiency.
• Maintain clear documentation for pipelines, datasets and business logic.
• Work with analysts, product teams and stakeholders to understand data requirements and translate them into robust data solutions.
• Follow established engineering standards, version control and delivery processes within the data team.

Skills

SQL

Agile

Data modeling

Data quality

Stakeholder comms

BI concepts

Tools

Snowflake

OpenFlow

Fabric

Omni

CI/CD for data

Job description

Babble is a Customer Experience-led growth business. As the ultimate Trusted Advisor for cloud-based technologies, we specialize in empowering businesses with the best solutions from the world's leading providers.

We are specialists in:

• Microsoft Modern Work
• Cybersecurity
• Mobile Solutions
• Communications & Connectivity

With thousands of customers, we're just scratching the surface of our potential. Many of our clients currently benefit from one or two of our technologies, presenting an incredible opportunity to introduce them to our full suite of market-leading solutions.

Join us on this exciting journey and let's achieve greatness together!

Join Our Dynamic Team as a Data Engineer

Are you passionate about telecoms? Do you thrive in a fast-paced, innovative environment? At Babble, we’re on a mission to be our customer’s most trusted advisor for cloud-based technologies. We’re looking for passionate and talented individuals to join our dynamic team. If so, we have the perfect opportunity for you!

What will you be doing?

We need a Data Engineer to develop, maintain, and enhance our Snowflake data platform. You'll build reliable pipelines, create quality transformations, and support analytics for business reporting. Work closely with analysts, stakeholders, and senior engineers to provide accurate, well-documented data for decision-making.

Accountabilities and Deliverables:

• Build and maintain scalable ELT pipelines in Snowflake, using OpenFlow and native capabilities.
• Develop and maintain data models following a Lakehouse and medallion-style approach.
• Write efficient, readable SQL to transform, test and optimise data for analytics and reporting use cases.
• Implement data quality checks, validation rules and basic monitoring within pipelines.
• Support and enable reporting and self-service analytics within the Business Intelligence tooling by delivering well-structured, reliable datasets and semantic layer.
• Monitor pipeline performance and Snowflake usage and make pragmatic improvements to reliability and cost efficiency.
• Maintain clear documentation for pipelines, datasets and business logic.
• Work with analysts, product teams and stakeholders to understand data requirements and translate them into robust data solutions.
• Follow established engineering standards, version control and delivery processes within the data team.

Core Competencies:

• Pipelines run reliably and are easy for others to understand and maintain.
• Data used in business intelligence tooling is trusted, consistent and clearly defined.
• Issues are identified early through sensible checks and monitoring.
• Stakeholders understand where their data comes from and how to use it.

Qualifications

• Commercial experience as a Data Engineer or in a closely related role.
• Strong SQL skills and hands‑on experience building transformations in Snowflake.
• Experience using Snowflake-native tooling, including tasks, streams and OpenFlow or equivalent ELT patterns.
• Solid understanding of data modelling for analytics and reporting.
• Experience supporting Business Intelligence tools, ideally Fabric or Omni.
• Working knowledge of data quality concepts and basic testing approaches.
• Comfortable working in an Agile delivery environment.
• Experience with Lakehouse or medallion-style architectures
• Exposure to CI/CD practices for data or analytics code.
• Experience working in a growing or evolving data function.

Additional Information

Why work for Babble?

• Public Holidays: 12 paid bank holidays
• Parental Leave: Statutory maternity and paternity leave

The recruitment journey

We want to fill this role quickly, but we want to get the right person. The recruitment process will consist of a screening call. If you proceed past this then you will have an interview over Teams and possibly a follow up interview and competency testing depending on the role requirements.

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