At a Glance
- Tasks: Lead and mentor a team of Data Engineers while designing scalable data solutions.
- Company: Fast-growing AI SaaS platform with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Join a collaborative team and drive impactful projects in a thriving industry.
- Why this job: Shape the future of AI products and influence technical direction in a dynamic environment.
- Qualifications: Experience in data engineering, Python, SQL, and team leadership.
The predicted salary is between 85000 - 95000 £ per year.
A fast-growing AI SaaS platform company is seeking a hands-on Data Engineering Manager to lead and grow its Data Engineering function. This is an opportunity to build and develop a high-performing team, shape technical direction and establish engineering best practice, while remaining closely involved in the design and delivery of the cloud-based data platform that powers innovative AI products.
Working alongside Product, AI and Platform teams, you will influence the technical roadmap, mentor engineers and help build a scalable engineering capability that will support the next phase of the company’s growth. As the business expands, so too will the scope and responsibility of this role.
What you’ll be doing:
- Leading, mentoring and growing a team of Data Engineers
- Designing and building scalable data pipelines and cloud-based data platforms
- Developing robust ETL and ELT solutions using Python and SQL
- Defining engineering standards, data models and best practice
- Driving CI/CD, automation and modern engineering practices
- Collaborating with AI engineers to productionise machine learning and AI solutions
- Exploring how AI can enhance engineering productivity, quality and delivery
Data Engineering Manager employer: Datatech
Join a fast-growing AI SaaS platform company in London, where innovation meets collaboration. As a Data Engineering Manager, you'll thrive in a hybrid work environment that promotes flexibility and work-life balance, while enjoying competitive salary packages and opportunities for professional growth. With a strong focus on mentorship and team development, you'll play a pivotal role in shaping the future of data engineering within a dynamic and supportive culture that values creativity and technical excellence.
