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

Apply Now

Data Engineer

InfoSec People Ltd
Coventry
2 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

This range is provided by InfoSec People Ltd. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.


Base pay range

Direct message the job poster from InfoSec People Ltd


Working pattern: Hybrid 1-2 days per month on site


We’re looking for an experienced Data Engineer to join a growing technology function and play a key role in building and maintaining reliable, high-performing data solutions that support critical business decision-making.


This is an opportunity to work across a modern data environment, designing and optimising databases, improving data flows, and ensuring data integrity and security at every stage. You’ll be part of a collaborative, forward-thinking team focused on continuous improvement, automation, and data-driven insight.


Key Responsibilities

  • Design, develop and maintain SQL databases and data pipelines, ensuring integrity, scalability, and performance.
  • Build and manage ETL processes to connect data across systems and formats (JSON, XML, CSV, etc.).
  • Optimise database queries and improve data accessibility for analytics and reporting.
  • Implement and maintain data governance, security and compliance standards, including data encryption and access control.
  • Support DataOps practices including integration, deployment, and monitoring of data solutions.
  • Collaborate with analysts, architects, and business users to clarify requirements and deliver actionable data solutions.
  • Identify opportunities to streamline and automate data processes, improving efficiency and accuracy.
  • Support the development of continuous integration and delivery pipelines for data engineering.

About You

  • Strong technical background in SQL and database management.
  • Experience with ETL pipelines, data warehousing, and working across multiple data formats.
  • Understanding of data governance, security and compliance principles.
  • Skilled at creating, testing, and optimising queries for performance.
  • Comfortable collaborating with a range of stakeholders (analysts, developers, and business users).
  • Familiarity with modern data platforms or cloud environments (e.g. Azure, AWS, Snowflake) is desirable.
  • A proactive mindset – you enjoy solving problems, improving systems, and driving best practice.

Unfortunately our client is unable to offer sponsorship for this role.


Seniority level

  • Mid-Senior level

Employment type

  • Full-time

Job function

  • Information Technology

Industries

  • Data Infrastructure and Analytics and IT System Data Services

Referrals increase your chances of interviewing at InfoSec People Ltd by 2x


Birmingham, England, United Kingdom


We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.


#J-18808-Ljbffr

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 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.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.