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

Apply Now

Senior Data Engineer

Attest
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (Data Science Team)

Senior Data Engineer - Machine Learning | Fraud & Abuse

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

Senior Data Platform & MLOps Engineer EMEA - Hemel Hempstead

Lead Data Engineer (Data Science Team)

Senior Data Scientist

The mission for this role

Data is central to Attest with the mission of the data engineering chapter is to enable efficient and reliable data processing. Our Data Engineers play a crucial role in the data lifecycle by designing, constructing, testing and maintaining our architecture/ data infrastructure. The team works cross functionally with responsibility for data modelling, data pipeline management and performance optimisation, ensuring scalability and resilience. 

Data Engineers work closely with our Data Scientists to enable them to derive meaning insights from the data. 

Your focus will be...

As a Senior Data Engineer, you will be

Growing and maturing our existing data analytics platform and data product offerings. Maintaining our data analytics infrastructure and data architectures to enable data-driven decision making across Attest. Building tooling to support and optimise the ML model development lifecycle, including experimentation, logging, deployment, and monitoring capabilities. Architecting infrastructure to effectively manage data assets, models, and codebase. Designing and implementing ETL pipelines to ingest and process data from various sources. Proactively recommending strategies and implementations to improve data reliability, efficiency, and quality standards

We’d love to hear from you if…

You think ahead and bring ideas to the table, identifying data engineering opportunities and presenting well-thought-out solutions. You have hands-on experience in Data Engineering using modern languages like Python and have experience with relational SQL and NoSQL databases. Ideally you will have worked as a Data Engineer or a Data Engineer. You have architected, maintained, and owned infrastructure for data processing and reporting. You understand the ML model development lifecycle and have experience with MLOps tools and methodologies to streamline and optimise those processes. You have strong data pipelining knowledge and experience working with data engineering tools ( i.e. MLFlow, Kubernetes, dbt, Terraform, Redshift)

Salary:

The salary range for this role is £85,000 to £105,000. 

At Attest our engineering roles are levelled. For this particular role we are open to hiring candidates across 2 different levels which is why the range is so broad. If you expectations align at either end of the band (or somewhere in between!) please do apply and we can share more about our internal levelling during the interview process. 

Benefits:

Our benefits programme is designed with a focus on the wellbeing, engagement and growth of our people. 

Please see our list of benefits below:

EMI share options in the company so that as the business succeeds, so do you! Benefits to support your career development and growth, including a career growth and development budget of £20 per month which can be accrued over the year. We’ll even give you £300 to set up your home office. 25 days paid holiday per year, increasing to 26 after 3 years service and 27 after 4 years service. This is in addition to local public holidays and an additional average of 2 days off during the festive season. You can also take one month's fully paid sabbatical after 4 years service.  We offer benefits that support your physical and mental health. These include enhanced sick pay, a £40 per month wellness allowance to spend on things that matter to your wellbeing which can be spent on a monthly basis or saved up for larger purchases over the year, and access to private and confidential coaching via Sanctus. Family-friendly policies from your first day of employment, such as enhanced parental leave with primary careers receiving 18 weeks fully paid leave and secondary careers receiving 4 weeks full pay. We also have a fertility treatment and family support policy which include paid leave for those going through treatment and their partners. Should the worst happen, we have a pregnancy loss policy with paid time off to support you through this time.  Spend up to 2 paid days per month – we call it 10% time – giving back to your community or supporting your favourite charity. To help you save for your retirement, you’ll be auto-enrolled to our group pension plan through Penfold when you join. You can maximise your pension contribution through the salary sacrifice scheme.  Receive support whenever you need it with our Employee Assistance Programme, Care First, available 24/7.  Work from anywhere – spend up to 80 days per year working abroad +/-4 hours from London An open, inclusive and supportive team where everyone is valued and all ideas and suggestions are welcomed. 

Life at Attest 

At Attest, our core values aren't just words on a wall; they are the foundation of everything we do. They guide our decisions, shape our culture, and define who we are as a team. 

We crafted our values collaboratively to ensure they reflect the reality of working at Attest today, while also pointing towards our future ambitions:

Discover Insights  Generate Outcomes  Embrace Change Include Intentionally  Win together 

If these values resonate with you, we invite you to apply and become part of the team at Attest, where your passion and talent will help drive our shared success.

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.

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

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.