National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Instantly.ai
Manchester
2 days ago
Create job alert

About Instantly.ai

Instantly.ai is a leading AI-driven sales outreach and lead intelligence platform, powering over 35K B2B companies.


The Role

We’re hiring a Data Engineer to lead the backend infrastructure of SuperSearch, our B2B lead intelligence platform. You will own and maintain large-scale data pipelines using AWS Glue (PySpark), S3, Elasticsearch, and MongoDB. This role is central to improving how users search, filter, and find leads, applying everything from algorithm tuning to semantic enhancements with LLMs and embeddings. You’ll have full ownership of a critical system in a fast-moving and high-growth startup environment.


Responsibilities

  • Own and maintain our data processing pipelines using AWS Glue (PySpark) and S3
  • Work with large-scale datasets stored in Elasticsearch and MongoDB
  • Build robust data transformation, cleaning, and normalization workflows
  • Improve the performance and relevance of our search system through algorithmic tuning and semantic enhancements (e.g. LLMs, DeepL, embeddings)


Must-Have Skills

  • Solid experience with data engineering on AWS (Glue, S3)
  • Strong knowledge of Elasticsearch (query design, aggregations, performance tuning...)
  • Proficiency in Python, especially in data wrangling (PySpark, Pandas)
  • Experience with data quality, schema evolution, and operational monitoring
  • Familiarity with LLMs, embeddings, or search ranking improvements is a plus
  • Backend development skills with Node.js or general JavaScript knowledge would be advantageous


Why Instantly.ai?

  • High-growth environment: join us on the path to unicorn status.
  • Impact & autonomy: you’ll own a marquee area critical to our success. No slow processes of big enterprise companies. We move fast like a young lean startup.
  • Collaborative culture: work with top developers and seasoned operators.


Apply now and we'll be in touch shortly

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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 to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.