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

Apply Now

Data Engineering Manager [UK]

DeepL
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager

Data Engineering Manager...

4 days ago Be among the first 25 applicants


Meet DeepL
DeepL is a global communications platform powered by Language AI. Since 2017, we’ve been on a mission to break down language barriers. Our human-sounding translations and intelligent writing suggestions are designed with enterprise security in mind. Today, they enable over 100,000 businesses to transform communications, reach new markets, and improve productivity. And, empower millions of individuals worldwide to make sense of the world and express their ideas.


Our goal is to become the global leader in Language AI, building products that drive better communication, foster connections, and make a real-life impact. To achieve this, we need talented individuals like you to join our exciting journey. If you're ready to work with a dynamic team and build your career in the fast-moving AI space, DeepL is your next destination.


What Sets Us Apart
What sets us apart is our blend of modern technology, competitive benefits, and an open, welcoming work culture that enables our people to thrive. When we share what it's like to work at DeepL, the reactions are overwhelmingly positive. This may be because of our products that have helped countless people worldwide or our shared mission to improve communication for individuals and businesses, bringing cultures closer together. What we know for sure is this: being part of DeepL means joining a team dedicated to innovation and employee well-being. Discover what our teams have to say about life at DeepL on LinkedIn, Instagram and our Blog.


Meet the team behind this journey
DeepL is seeking an experienced Data Engineering Manager with a strong background in enterprise B2B and marketing-focused data needs. In this role, you will lead a cross-functional team of Data and Software Engineers responsible for designing, building, maintaining, and scaling our Marketing Technology stack and reporting pipelines. You will partner closely with Marketing, Sales, and Data Management to ensure our data systems deliver insights and enable Marketing partners to grow our business through automation.


Your Responsibilities

  • Lead, mentor, and grow a team of data and software engineers, fostering a culture of collaboration, innovation, and continuous improvement
  • Design and oversee data pipelines, data models, and ETL/ELT processes to ensure efficient, reliable data products that support product development and enterprise customer needs
  • Design and oversee efficient and scalable integrations with our Marketing Technology for systems like ad platforms, marketing automation platforms, CRMs, data enrichment services, or outbound automation tools
  • Collaborate with cross-functional stakeholders (Marketing, Sales, Engineering, Data) to define data requirements, identify key metrics, and deliver strategic insights that shape product roadmaps and customer solutions
  • Drive best practices in data and software security, governance, and compliance to meet enterprise B2B standards and ensure access high-quality data products and insights
  • Evaluate and recommend tools, technologies, and frameworks to improve our Marketing Technology capabilities, focusing on performance, scalability, and cost-effectiveness
  • Implement robust monitoring, alerting, and observability solutions, ensuring data pipelines and system maintain the highest levels of uptime and reliability
  • Partner with Marketing Managers to translate business objectives into data-driven or software-driven solutions that inform decisions, and uncover opportunities
  • Ensure thorough documentation for data processes, systems architecture, and stakeholder dependencies, promoting transparency and cross-team efficiency
  • Participation in our on-call rotation: You’ll ensure the reliability and availability of our services by being available to join the team's shared on-call rotation as needed

Qualities we look for

  • Experience in a high-growth technology or SaaS environment, with exposure to distributed systems and microservices architecture
  • Familiarity with agile methodologies and tooling (Jira, Confluence) for managing project timelines and deliverables
  • Experience working with customer-facing teams to tailor data solutions for enterprise clients
  • Proven experience in data and software engineering, with profound experience in a managerial role
  • Demonstrated success in designing and managing large-scale data pipelines and ETL/ELT processes
  • Demonstrated success in designing and managing large-scale Marketing Technology integrations
  • Deep understanding of C#, Python, and SQL
  • Hands-on experience with cloud data warehousing solutions
  • Familiarity with enterprise B2B data requirements, including compliance, governance, and security best practices
  • Track record of leveraging data insights to inform product strategies, ideally with experience in product analytics
  • Knowledge of machine learning frameworks or AI-based products, as well as MLOps best practices (Nice to have)
  • Excellent communication and stakeholder management skills, with the ability to concisely report technical information to both technical and non-technical audiences

What We Offer

  • Diverse and internationally distributed team: joining our team means becoming part of a large, global community with people of more than 90 nationalities.
  • Open communication, regular feedback: as a language-focused company, we value clear, honest communication and direct feedback.
  • Hybrid work, flexible hours: hybrid schedule with office presence twice a week and flexible hours.
  • Regular in-person team events and monthly Hack Fridays
  • 30 days of annual leave and access to mental health resources
  • Competitive benefits tailored to your location

If this role and our mission resonate with you, but you don't check all the boxes, don't let that hold you back. At DeepL, it's about the value you bring and the growth we can foster together. Apply—we'll discover your potential together. We can't wait to meet you!


We are an equal opportunity employer
You are welcome at DeepL for who you are—we appreciate authenticity here. Our product is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all succeed, contribute, and think forward. Bring us your personal experience, perspectives, and background. It's in our diversity that we will find the power to break down language barriers in the world.


Seniorit y level

  • Associate

Employment type

  • Full-time

Job function

  • Engineering and Information Technology
  • Software Development

Industries

  • Software Development

Referrals increase your chances of interviewing at DeepL by 2x


Get notified about new Engineering Manager jobs in London, England, United Kingdom.


London, United Kingdom various postings and locations listed above.


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 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.

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.