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

Apply Now

Director of Data Engineering

Zendr
Newcastle upon Tyne
5 months ago
Applications closed

Related Jobs

View all jobs

Data Analyst

Data Analyst

Our client is aSeries Afunded SaaS startup specializing in Threat Intelligence. They leverage advanced machine learning for narrative intelligence, helping enterprises and government agencies combat social media manipulation and emerging narrative threats. Their platform processes vast amounts of unstructured, cross-channel media data, converting it into actionable insights.


They are looking for a Director of Data Engineering expert to spearhead their development, implementation, and advancement of their data infrastructure. In this role, you will work closely with the Data, Product, and Engineering team.


Will be tasked with managing 2 people initially then scale into consolidated Data team whilst you will be reporting into the VP of Engineering.


Key Responsibilities:

  • Develop and implement a long-term vision for data engineering and DevOps strategies.
  • Collaborate with senior leadership to prioritize initiatives, set objectives, and define measurable outcomes.
  • Build, mentor, and lead a diverse team of Data Engineers
  • Oversee the design, development, and maintenance of scalable data pipelines, warehouses, and processing frameworks.
  • Lead adoption of modern DevOps methodologies to streamline CI/CD pipelines and deployment processes.
  • Partner with cross-functional teams, including product, analytics, and engineering, to align technical solutions with business needs.
  • Present project updates, performance metrics, and strategic initiatives to leadership.


Required Qualifications:

  • 10+ years of engineering experience, with at least 5+ years in data engineering
  • Proven experience in designing and implementing data architectures, ETL processes, and DevOps pipelines.
  • Expertise in cloud platforms AWS, Azure, or GCP.Preferably AWS
  • Experience with modern DevOps tools such as Kubernetes, Docker, Terraform, Jenkins, or similar.
  • Track record of successfully managing and scaling high-performing technical teams.
  • Experience with data orchestration platforms such as Dagster or Airflow.
  • Strong database architecture design skills for both structured and unstructured data.
  • Advanced knowledge of Elasticsearch or OpenSearch, including configuration and search functionalities.
  • Ability to define and communicate data architecture requirements while staying up to date with best practices.

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 the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

Education Careers

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Jobs

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

🍪 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.