Data Engineering Specialist

Aviva
Norwich
3 weeks ago
Create job alert

This is a great job for someone who’s ready to step into a leadership role or already leading and looking to make a bigger impact. If you’re passionate about engineering excellence, automation, and GenAI—and want to help shape how Aviva connects with its customers—we’d love to hear from you.


A bit about the job:

This role sits within the Single View of Customer (SVOC) platform team, part of Aviva’s Customer Data Platforms (CDP). The team builds and manages unified customer data products that support analytics, marketing, servicing, and operations.


As Lead Snowflake Engineer, you’ll drive engineering delivery and continuous improvement across the platform. You’ll help us transform how we engage with our customers—enhancing contact ability, personalisation, and overall experience. You’ll also play a key role in building internal capability in Snowflake and DBT, helping us reduce reliance on external consultants and unlock future strategic projects.


Skills and experience we’re looking for

  • Broad expertise in software/data engineering, including cloud‑native architectures, serverless data pipelines, and translating business needs into scalable, reusable data platform solutions.
  • Strong technical leadership, including mentoring, stakeholder management, and guiding end‑to‑end delivery across the change lifecycle.
  • Advanced Snowflake capabilities, including Snowpark, dynamic tables, Snowpipe streaming, Cortex AI, UDFs, and reusable frameworks, plus strong experience with Redshift, Postgres, and other DBMS platforms.
  • Proficiency in Python and Airflow, with strengths in automation, data quality validation, testing, and maintaining reliable/optimized data pipeline infrastructure.
  • Cloud cost optimisation & monitoring, including engineering pipelines and dashboards to analyse, manage, and optimise cloud spend.

What you’ll get for this role:

Our purpose - with you today, for a better tomorrow – is a promise we make to our colleagues too. And one of the ways we live up to that promise is by investing in you. We have so much to offer when it comes to being an Aviva colleague.



  • Salary £60,000 - £65,000 (depending on location, skills, experience, and qualifications)
  • Bonus opportunity 10% of annual salary - Actual amount depends on your performance and Aviva’s
  • Generous pension scheme - Aviva will contribute up to 14%, depending on what you put in
  • 29 days holiday plus bank holidays, and you can choose to buy or sell up to 5 days
  • Make your money go further - Up to 40% discount on Aviva products, and other retailer discounts
  • Up to £1,200 of free Aviva shares per year through our Matching Share Plan and share in the success of Aviva with our Save As You Earn scheme
  • Brilliantly supportive policies including parental and carer’s leave
  • Flexible benefits to suit you, including sustainability options such as cycle to work
  • Make a difference, be part of our Aviva Communities and use your 3 paid volunteering days to help others
  • We take your wellbeing seriously with lots of support and tools

Aviva is for everyone:

We’re inclusive and welcome everyone – we want applications from all backgrounds and experiences. Excited but not sure you tick every box? Even if you don’t, we would still encourage you to apply. We also consider all forms of flexible working, including part time and job shares.


We flex locations, hours and working patterns to suit our customers, business, and you. Most of our people are smart working – spending around 50% of their time in our offices every week – combining the benefits of flexibility, with time together with colleagues.


We interview every disabled applicant who meets the minimum criteria for the job. Once you’ve applied, please send us an email stating that you have a disclosed disability, and we’ll interview you.


We’d love it if you could submit your application online. If you require an alternative method of applying, please give Harjot Kaur a call on or send an email to


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineering Specialist

Data Engineering Specialist

Data Engineering Specialist

Data Engineering Specialist

Energy Data Engineer: Build Enterprise Pipelines & Insights

Digital Data Consultant, Data Engineering, Data Bricks, Part Remote

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.

What Hiring Managers Look for First in Machine Learning Job Applications (UK Guide)

Whether you’re applying for machine learning engineer, applied scientist, research scientist, ML Ops or data scientist roles, hiring managers scan applications quickly — often making decisions before they’ve read beyond the top third of your CV. In the competitive UK market, it’s not enough to list skills. You must send clear signals of relevance, delivery, impact, reasoning and readiness for production — and do it within the first few lines of your CV or portfolio. This guide walks you through exactly what hiring managers look for first in machine learning applications, how they evaluate CVs and portfolios, and what you can do to improve your chances of getting shortlisted at every stage — from your CV and LinkedIn profile to your cover letter and project portfolio.

MLOps Jobs in the UK: The Complete Career Guide for Machine Learning Professionals

Machine learning has moved from experimentation to production at scale. As a result, MLOps jobs have become some of the most in-demand and best-paid roles in the UK tech market. For job seekers with experience in machine learning, data science, software engineering or cloud infrastructure, MLOps represents a powerful career pivot or progression. This guide is designed to help you understand what MLOps roles involve, which skills employers are hiring for, how to transition into MLOps, salary expectations in the UK, and how to land your next role using specialist platforms like MachineLearningJobs.co.uk.