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

Apply Now

Senior Data Engineer

Hush
Clapham
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer (AI & MLOps, AWS, Python)

Senior DataOps Engineer

Senior Data Infrastructure & MLOps Engineer

Senior Data Scientists/Analysts - MOD, National Security, Defence, or Government

Senior Data Scientist

Senior Data Scientist

(SENIOR) DATA ENGINEER ROLE PROFILE


Hush is an ambitious and distinctive fashion brand, with plans to double the business over the next few years. Founded 21 years ago, we are now established as one of the UK’s leading online fashion retailers. We employ around 130 employees across head office and retail, creating and selling a beautiful range of women’s clothing and accessories characterised by effortlessness, simplicity and a laidback sense of style. Despite the challenges to the retail industry, Hush has continued grow – and our company culture still reflects our entrepreneurial roots and relaxed aesthetic. We love hard-working and talented people with a can-do attitude and a passion for what they do.


THE ROLE

This is an integral role in both our Technology team and wider business; the role holder will help Hush to develop, maintain and draw insights from our business intelligence solutions consisting of Google Big Query (Data warehouse), Domo/Superset (Visualisations), Snaplogic (ELT) and DBT (Modelling). Your days will be varied including challenging the status quo, preparing ad-hoc analysis, supporting business users in self-serve operations mode and actively championing data-science use and robust data analysis across the organisation.


THE RESPONSIBILITIES

  • Collaborate with the business to prioritise and define data requirements into agreed priorities.
  • Ensuring stable running of the data environment from a security and performance perspective.
  • Support external partners and business with data to drive business initiatives.
  • Utilise SQL to create and maintain reporting data models for use in BI reporting.
  • Help non-technical end users adopt a self-service mindset to reporting and providing guidance and best practise where necessary.
  • Review data produced, analyse and provide actionable insights and opinion on data.
  • Apply advanced statistical and machine learning techniques, including clustering, regression analysis, and predictive modelling, to extract deeper insights from customer data.


THE PERSON

  • Strong communication skills; able to articulate complex technical topics for non-technical colleagues to understand and report on data activity progress.
  • Strong SQL and data modelling skills.
  • Knowledge of at least one other programming language eg Python.
  • Comprehensive technical experience in data warehousing, ETL and BI reporting technologies.
  • Experience working with and administrating a modern BI platform, such as Looker, Qlik, Domo, Superset or Power BI.
  • Analytical skills; ability to review and advise on data extracted.


We are committed to fostering diversity, equity and inclusion in everything we do.

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.

Jobs

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

Jobs

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.

Jobs

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.