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Senior Data Engineer (Cloud)

Elevation Recruitment Group
Leeds, UK
£70,000 – £80,000
1 day ago
hybrid

Skills & Technologies

PythonData EngineeringSQLAWSAzureGCPGoogle CloudCI/CDCloudGitData ModellingSnowflakeBigQueryDatabricksRedshiftSynapseIntegrationDeploymentBenefitsBI

Job Description

Senior Data Engineer Location: Wakefield or Manchester - Flexible hybrid working Salary: £70,000–£80,000 + benefits Elevation Tech & Transformation are exclusively working with a growing, PE-backed business that is building out its internal data capability and investing heavily in a modern cloud data platform.

This is a brilliant opportunity for a Senior Data Engineer who wants more than just another pipeline-building role. You’ll be joining at a key stage of the journey, helping bring data engineering capability in-house, shape standards, improve governance and build a platform that genuinely supports better reporting, insight and decision-making across a complex group.

The business is made up of multiple operating companies, each with its own systems, processes and ways of working. The challenge is pulling that data together into a common platform and turning it into something useful, trusted and commercially valuable.

You’ll need to be technically strong, but this role is just as much about mindset. The right person will be comfortable working with stakeholders who may not fully understand their systems or data, asking the right questions, digging into problems and translating messy business requirements into practical engineering solutions. What you’ll be doing

Building and improving cloud-based data pipelines and data models

Supporting the development of a modern data platform using Google Cloud Platform and BigQuery

Working with stakeholders across the business to understand data sources, reporting needs and commercial priorities

Helping bring outsourced data engineering capability in-house

Creating better structure around change control, deployment, CI/CD and engineering standards

Supporting data governance, security and quality as new sources are onboarded

Identifying quick wins while also protecting the long-term quality of the platform

Working closely with BI, reporting, integration and technology teams

What we’re looking for

Strong data engineering experience in a cloud environment

Experience with GCP, AWS or Azure

Strong SQL and ideally Python

Good understanding of data warehousing, data modelling and reporting/insight platforms

Experience working with CI/CD, Git and structured deployment processes

An understanding of modern cloud data platforms and warehousing technologies such as BigQuery, Snowflake, Redshift, Synapse or Databricks

Ability to work autonomously and prioritise your own workload

Confidence working with non-technical stakeholders

A pragmatic approach - able to balance best practice with commercial delivery

GCP and BigQuery experience would be highly beneficial, but strong cloud data engineers from AWS or Azure backgrounds will also be considered if you’re interested in moving into GCP. Why this role? This is a chance to join a business where data is genuinely on the board agenda. The programme is highly visible, CEO-sponsored and seen as a key part of the company’s future growth.

You’ll have the opportunity to shape how the platform develops, influence standards, work across a varied group of businesses and see the impact of your work quickly.

It would suit someone who enjoys building, problem-solving and improving things - not someone who wants a heavily governed corporate environment where every decision has already been made. Benefits

£70,000-£80,000 salary

Hybrid working across either Manchester or Wakefield

25 days holiday plus bank holidays

Salary sacrifice pension scheme

Life assurance

Employee discounts across retail, tech, travel, gyms and more

Supportive team culture with plenty of scope to learn and develop

Interested? Apply today or contact Helenna Bell for further information and to apply.

Company & Role Analysis

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Likely perks
Private MedicalPension25+ Days HolidayStock OptionsLearning BudgetFlexible Hours
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