Senior Data Platform Engineer - Snowflake

ALTERED RESOURCING LTD
Manchester, United Kingdom
Today
£70,400 pa

Salary

£70,400 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Senior
Education
Degree
Posted
30 Apr 2026 (Today)

Benefits

25 days holiday (with option to buy/sell) Annual performance-based bonus Private healthcare Enhanced pension and life insurance Flexible working arrangements Wellbeing support and lifestyle benefits Access to discounts and additional perks
Senior Data Platform Engineer (Snowflake)Locations: Manchester / London / Staines (Hybrid)
Type: Permanent, Full-Time (37.5 hours)
Salary: £70,400 + 10% Bonus + Excellent Benefits

Overview We’re hiring aSenior Data Platform Engineer to play a key role in designing, building, and operating asecure, scalable enterprise data platform with a strong focus onSnowflake.

This is a senior-level position where you’ll take ownership of platform engineering capabilities- driving automation, governance, and performance optimisation, while enabling data teams to deliver advanced analytics at scale.

You’ll operate with a high level of autonomy, contributing to platform standards, improving reliability, and ensuring cost-effective, compliant data operations.

Key Responsibilities
  • Design, build, and manageSnowflake platform capabilities within an enterprise data environment

  • Automate infrastructure and resource provisioning usingTerraform (IaC)

  • Develop and maintainCI/CD pipelines (GitHub Actions / Azure DevOps)

  • Implementmonitoring, alerting, and observability frameworks

  • Leadcost optimisation initiatives across Snowflake workloads

  • Define and enforcesecurity best practices (RBAC, data masking, identity integration)

  • Establishgovernance and compliance frameworks (audit logging, access reviews)

  • Design and implementdisaster recovery and business continuity strategies

  • Create reusablemodules, templates, and platform standards

  • Produce high-qualitydocumentation, runbooks, and onboarding materials

Required Skills & Experience
  • Strong experience inplatform or cloud engineering within enterprise environments

  • Deep expertise inSnowflake (warehousing, RBAC, data sharing, performance tuning)

  • Hands-on experience withTerraform and Infrastructure as Code

  • Proven experience buildingCI/CD pipelines (GitHub Actions or Azure DevOps)

  • Strong scripting skills (SQL, Python, or Bash)

  • Solid understanding ofSnowflake security features (masking, encryption, identity federation)

  • Experience withmonitoring, query profiling, and usage tracking

  • Demonstrated ability tooptimise performance and manage costs in large-scale environments

  • Strong communication skills with the ability to work acrossengineering, data, and compliance teams

  • Proactive approach todocumentation and platform standards

What’s on Offer
  • 25 days holiday (with option to buy/sell)

  • Annual performance-based bonus

  • Private healthcare

  • Enhanced pension and life insurance

  • Flexible working arrangements

  • Wellbeing support and lifestyle benefits

  • Access to discounts and additional perks

Related Jobs

View all jobs

Senior Data Platform Engineer

ITSS Recruitment London, United Kingdom
£70,000 – £100,000 pa Remote

Senior Data Platform Engineer

The Recruitment Company Galway, Galway County, Ireland
£400 – £450 pd

Senior Data Engineer

SRG Manchester, United Kingdom
£70,000 – £80,000 pa Hybrid

Senior GCP Data Engineer

VIQU IT Recruitment Manchester, United Kingdom
£65,000 – £68,500 pa Hybrid

Senior GCP Data Engineer

VIQU IT Bolton, Manchester, M26 1HG, United Kingdom
£65,000 – £68,500 pa

SAS Data Engineer

Deerfoot Recruitment Solutions Telford, Shropshire, SY2 5TN, United Kingdom
£50,000 – £70,000 pa

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.