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- Tasks: Lead data engineering and AI initiatives for a cutting-edge B2B regulatory tech platform.
- Company: Join a forward-thinking SaaS company focused on innovation in regulated industries.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity to work with modern technologies and develop talent in a high-performance culture.
- Why this job: Shape the future of data-driven products and make a real impact in a dynamic environment.
- Qualifications: Proven experience in data engineering, team leadership, and strong programming skills.
The predicted salary is between 43200 - 72000 £ per year.
We are seeking a dynamic Head of Data Engineering to lead our data and artificial intelligence capabilities for our B2B regulatory technology SaaS platform. In this pivotal role, you will drive the vision and execution of our data strategy, ensuring robust data foundations to power innovative, data-driven products for the highly regulated industries we serve.
Proven experience in engineering management, with a focus on building and scaling data teams in a SaaS or technology-driven environment.
Hands-on expertise in modern data engineering practices, cloud data platforms, and the full data lifecycle (ingestion, processing, modelling, analytics, and ML/AI deployment).
Strong programming skills in languages such as Python, Java, or Scala, and experience with data pipeline frameworks (e.g., Spark, Airflow, dbt) and cloud infrastructure (e.g., AWS, Azure, GCP).
A track record of delivering innovative, data-driven products from concept to production, ideally in a regulated industry (finance, legal, compliance, etc.).
Deep understanding of data governance, quality, security, and privacy standards.
Excellent communication skills, with the ability to collaborate cross-functionally and translate technical concepts for non-technical stakeholders.
Experience working with product management and subject-matter experts to shape product strategy and deliver impactful solutions.
A passion for developing talent, fostering a high-performance culture, and leading by example.
Nice to have:
- Degree in Computer Science, Engineering, Data Science, or a related field (or equivalent experience).
- Experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and deploying models in production environments.
- Familiarity with regulatory technology and compliance requirements.
- Experience in a fast-paced, scale-up, or start-up environment.
- Experience working with Snowflake cloud data platform.
Head of Data Engineering in City of London employer: Devonshire Hayes Recruitment Specialists Ltd.
Contact Detail:
Devonshire Hayes Recruitment Specialists Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data Engineering in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. You never know who might have the inside scoop on a role that’s perfect for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines or AI/ML deployments. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with cloud platforms and data governance, as well as how you’ve led teams in the past.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you to join our team. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Head of Data Engineering in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in data engineering and any relevant projects you've led. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can drive our vision forward. Keep it engaging and personal – we love a good story!
Showcase Your Technical Skills: Don’t hold back on your programming prowess! Mention your hands-on experience with Python, Java, or Scala, and any data pipeline frameworks you've worked with. We’re keen to see how you’ve applied these skills in real-world scenarios.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Devonshire Hayes Recruitment Specialists Ltd.
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering knowledge, especially around modern practices and cloud platforms. Be ready to discuss your hands-on experience with tools like Spark or Airflow, and how you've used them in past projects.
✨Showcase Your Leadership Skills
As a Head of Data Engineering, you'll need to demonstrate your ability to lead and scale teams. Prepare examples of how you've developed talent and fostered a high-performance culture in previous roles. Highlight any specific achievements that showcase your leadership style.
✨Communicate Clearly
You’ll be working with both technical and non-technical stakeholders, so practice explaining complex concepts in simple terms. Think of examples where you successfully translated technical jargon into understandable language for different audiences.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills in regulated environments. Prepare to discuss how you've navigated challenges related to data governance, quality, and compliance in your previous roles.