Data Engineer

Searchability®
Manchester
4 days ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Database Engineer (PostgreSQL & Python) - MUST BE BASED IN THE UK


  • Opportunity for a Database Engineer (Junior/Mid/Senior) to join a remote-first, UK-headquartered technology business
  • Competitive salary between £45,000 - £70,000 + excellent benefits including remote working, autonomy, and the chance to work on an Educational AI platform
  • Apply online or contact Chelsea Hackett via


WHO WE ARE:

We are a remote-first technology organisation headquartered in the UK, with a distributed team across Europe. The business operates in a highly data-driven environment, working closely with Product and Data Science teams to support an Educational AI pipeline.


Data reliability, performance, and scalability are central to the platform, and this role plays a key part in maintaining and evolving the underlying data infrastructure.


You’ll be joining a collaborative, distributed engineering team, with the opportunity to take real ownership of database systems and tooling.


OUR BENEFITS:

  • Remote-first working model
  • Autonomous, trusted working environment
  • Collaborative and inclusive engineering culture
  • Opportunity to work closely with AI and Data Science teams
  • Clear ownership and technical influence
  • Long-term, permanent role
  • And more…


WHAT WILL YOU BE DOING?

As a Database Engineer, you’ll sit at the intersection of database administration and software engineering.


You’ll be responsible for building and maintaining high-availability PostgreSQL environments, ensuring performance, security, backups, replication, and recovery are robust and reliable. Alongside this, you’ll write production-quality Python to automate database operations, build bespoke tooling, and support the evolution of the wider data platform.

You’ll contribute to database migrations and scaling initiatives, enable clean data access across services via APIs, and document standards and processes to support a distributed development team.


This is a hands-on role with a strong focus on long-term platform health rather than short-term fixes.


DATABASE ENGINEER – ESSENTIAL SKILLS

  • Expert-level PostgreSQL experience (complex queries, schema design, optimisation)
  • Strong Python skills, writing production-quality, testable code
  • Experience with database performance tuning, backups, replication, and recovery
  • Understanding of data integrity, security, and best practices
  • Experience working in a collaborative, distributed engineering environment
  • Strong problem-solving skills with the ability to communicate technical concepts clearly
  • Full right to work in the UK (no sponsorship)


TO BE CONSIDERED…

Please either apply by clicking online or emailing me directly at . By applying to this role, you give express consent for us to process and submit (subject to required skills) your application to our client in conjunction with this vacancy only.

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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.