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Data Engineer

Babble Cloud

On-site
Pristina, XK
Full-time
Mid Level
Salary not listedPosted 4w ago

Real job — pulled straight from Babble Cloud’s careers page · Verified July 18, 2026 · No reposts.

Job description

Babble Cloud is hiring a Data Engineer — a full-time, based in Pristina, XK role. Apply directly on Babble Cloud's careers page below.

Data Engineer

Location: Pristina, Pristina, xk

Company Description

Why Babble?

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
  • Contact Centre Technology
  • 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!

About Us | Leading UK Cloud Solutions Provider | Babble

Job Description

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?

  • Annual Leave: 20 days’ paid holiday
  • Public Holidays: 12 paid bank holidays
  • Pension: Statutory pension provision
  • Sick Leave: 20 days’ statutory sick pay
  • Working Pattern: 10‑day fortnight
  • Work Environment: Full‑time, office‑based role
  • 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. 

Direct Candidates Only

Babble | Leading UK Cloud Solutions Provider

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Frequently asked questions

What skills are required for Data Engineer at Babble Cloud?

The required skills for Data Engineer at Babble Cloud include: SQL, Snowflake, ETL, Agile, CI/CD.

What is the seniority level for Data Engineer at Babble Cloud?

Data Engineer at Babble Cloud is a Mid Level level position.

How do I apply for Data Engineer at Babble Cloud?

You can view the full description and apply for Data Engineer at Babble Cloud on EchoJobs: https://echojobs.io/job/babble-cloud-data-engineer-vj0bo.