Director of Data Engineering

Zendr
Liverpool
2 weeks ago
Create job alert

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.

Related Jobs

View all jobs

Director of Data Engineering

Senior Manager Marketing Data & Insights Strategy

Principal Data Scientist - NLP

Senior Engineering Manager - Wellbeing

Director of Engineering

Director of Generative AI | Remote

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

AI Programming Languages for Job Seekers: Which Should You Learn First to Launch Your AI Career?

Artificial Intelligence (AI) is no longer confined to academic research; it now sits at the core of countless modern industries. From healthcare diagnostics powered by machine learning to autonomous driving and natural language processing, organisations are investing heavily in AI capabilities. This surge in AI adoption has created a thriving job market for talented professionals—data scientists, machine learning engineers, AI researchers, and more. Yet if you’re aiming to break into this fast-growing field, one of the first questions you’ll ask is, “Which AI programming language should I learn first?” Given the array of options available—Python, R, Java, C++, Julia, among others—understanding the strengths, community support, and industry relevance of each is crucial. In this extensive guide, tailored for www.artificialintelligencejobs.co.uk, we’ll explore the top AI programming languages that can help you stand out to employers, accelerate your learning curve, and equip you with the skills to succeed in a competitive job market. By addressing both beginners and experienced programmers, we aim to provide actionable insights to help you choose the right language, master essential tools, and build a compelling career in AI.

UK Visa & Work Permits Explained: Your Essential Guide for International AI Talent

The United Kingdom has long been a hub of innovation, drawing some of the world’s brightest minds to its shores. In recent years, the country’s thriving technology ecosystem has been propelled by advances in Artificial Intelligence (AI), Machine Learning (ML), Robotics, Data Science, and related fields. From deep-tech start-ups in Silicon Roundabout to established global powerhouses, the UK remains at the forefront of AI research and development. Yet, for international AI professionals hoping to contribute to the UK’s tech growth, one of the most challenging hurdles can be understanding the visa and work permit landscape. The UK immigration system has its unique nuances, and it can be overwhelming to decide which route is best suited for your career aspirations. This comprehensive guide will help you navigate the main visa and work permit options for AI professionals, provide insight into the eligibility criteria, and offer practical tips on securing your dream role in the British AI sector.

Top UK AI Research Labs & Institutes: Best Places for AI Jobs

In recent years, the United Kingdom has emerged as one of the leading global hubs for artificial intelligence (AI) innovation. With a strong academic tradition, active technology communities, and robust government support, the UK has seen the rise of numerous world-class AI research labs and institutes. Many of these organisations not only drive significant academic breakthroughs but also foster powerful industry collaborations, creating thriving ecosystems where talent, investment, and creativity converge. If you are keen on pursuing an AI career—be it in academia or industry—understanding where these AI powerhouses are located, what they specialise in, and how they collaborate can help you map a clear route to success. In this blog post, written specifically for ArtificialIntelligenceJobs.co.uk, we delve into the top UK AI research labs and institutes, outline the career paths available, and highlight how you can be at the heart of Britain’s AI innovation.