AM Snowflake Data Engineer

Phoenix Group
West Midlands
2 months ago
Applications closed

Related Jobs

View all jobs

Security Architect - AI

Electronics Engineer

[Apply Now] Lead Data Scientist

Senior Pricing Analyst (Data Science) - Remote

Data Engineer

Data Engineer

The ideal candidate will have significant experience working with Snowflake and will be responsible for designing, implementing, and maintaining data solutions using Snowflake technology. In this role, you'll be at the forefront of crafting and executing our data vision, operating within a dynamic Greenfield environment.

We have an incredible opportunity to join us here at Phoenix Group as a Senior Snowflake Data Engineer to join our IT Transformation team within the Asset Management function.. We'll be hosting a virtual open forum on if you would like to hear more about this role and ask any questions.

Job Type: Permanent

Location: Telford hybrid with time spent working from home and occasional travel to London

Flexible working: All of our roles are open to part-time, job-share and other types of flexibility. We will discuss what is important to you and balancing this with business requirements during the recruitment process. You can read more about Phoenix Flex here.

Closing Date: 28/02/2025

Salary and benefits: £60,000 - £90,000 plus 16% bonus up to 32%, private medical cover, 38 days annual leave, excellent pension, 12x salary life assurance, career breaks, income protection, 3x volunteering days and much more

Who are we?

We want to be the best place that any of our 6,600 colleagues have ever worked.

We're the UK's largest long-term savings and retirement business. We offer a range of products across our market-leading brands, Standard Life, SunLife, Phoenix Life and ReAssure. Around 1 in 5 people in the UK has a pension with us. We're a FTSE 100 organisation that is tackling key issues such as transitioning our portfolio to net zero by 2050, and we're not done yet.


The role

The ideal candidate will have significant experience working with Snowflake and will be responsible for designing, implementing, and maintaining data solutions using Snowflake technology. In this role, you'll be at the forefront of crafting and executing our data vision, operating within a dynamic Greenfield environment. The successful candidates will be part of a wider team delivering large-scale, high-performance systems and be responsible for the smooth transition into a DevOps lifecycle.

Key responsibilities

- Design, develop, test, deploy, and maintain enterprise-level applications using the Snowflake platform
- Work with a variety of stakeholders to understand requirements and deliver solutions
- Take ownership of a project and see it through to completion
- Educates team to implement based on best practices.
- Provides hands-on technical support to accelerate learning among peers.
- Operating at a senior level within an engineering team
- Develop and maintain data models within Snowflake


What are we looking for?

Essential

- Extensive experience designing, building, optimising, and monitoring complex ELT pipelines, ensuring data quality and timeliness.
- Experience of developing and maintaining data models within Snowflake
- Hands-on expertise in data quality tools and methodologies (e.g., profiling, validation, cleansing). Demonstrated history of implementing data quality initiatives.
- Strong understanding of data security principles and Snowflake security features
- Experience in using CI/CD pipeline tools

Desirable

- Familiarity with advanced networking in cloud environments, such as AWS
- Experience with software architecture in cloud-based infrastructures
- Strong Python skills with a focus on data pipeline development and automation of data-related tasks



We want to hire the whole version of you.

We are committed to ensuring that everyone feels accepted and welcome applicants from all backgrounds. If your experience looks different from what we've advertised and you believe that you can bring value to the role, we'd love to hear from you.

If you require any adjustments to the recruitment process, please let us know so we can help you to be at your best.

Please note that we reserve the right to remove adverts earlier than the advertised closing date. We encourage you to apply at the earliest opportunity.

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.