Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineering Specialist

Aviva
Bristol
5 months ago
Applications closed

Related Jobs

View all jobs

Data Science and Engineering Specialist

Lead Data Engineering & AI for RegTech SaaS

Head of Data Engineering

Senior Data Engineering Consultant

Data Scientist Specialist

Cybersecurity Data Engineer & Automation Specialist

Data Engineering Specialist

Salary: Up to £65,000

A bit about the job: 

The Lead Data Engineer will be critical in ensuring development standards are maintained while delivering solutions within time and budgetary targets. This position suits a highly organized and effective communicator who can engage with stakeholders at all levels. Responsibilities include understanding detailed technical requirements and deliverables across multiple projects, providing informed technical input into the preparation of solution designs, and proactively balancing involvement within projects as necessary while supporting and guiding the development team.

Key Responsibilities:

Develop ETL solutions on a project-by-project basis, ensuring they are performant, secure, and aligned with governance standards.

Mentor developers of varying experience levels, encouraging a collaborative and productive team environment.

Lead solutions for complex problems, ensuring that code meets high standards through detailed reviews.

Collaborate with collaborators at all levels to offer technical expertise and project mentorship.

Support the development team in requirement clarifications, solution design, low-level design, sprint planning, code deployments, and resolving project blockers and issues.

Provide support for production applications, including defect analysis and fixing, while serving as a point of contact for technical mentorship and support within the wider team.

Skills and experience we’re looking for:

Proven track record in technical consultancy involving ETL/ELT/Data Warehouse projects, showcasing hands-on delivery and leadership experience.

Expertise in mentoring Data Engineering teams and leading projects in an offshore/onshore resource environment.

Proficiency in using ETL applications, particularly the Informatica suite of products (PowerCenter, BDM, IDMC), and experience with Cloud Technologies, preferably AWS (e.g., AWS Glue).

Experience with various Database technologies (Postgres, Redshift, Oracle, Snowflake) and scripting languages such as Python and PySpark for data transfer/manipulation.

Ability to assimilate technical and business information and translate these into practical solutions, while positively challenging existing and proposed solutions.

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.

Starting salary up to £65,000 (depending on 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

Take a look to learn more. Put a salary into this calculator to see what your total Aviva Reward could be.

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.

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.

Machine Learning Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.