At a Glance
- Tasks: Build and support innovative data products using cutting-edge technologies.
- Company: Join a high-performing team focused on data, machine learning, and AI solutions.
- Benefits: Enjoy hybrid work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team culture with a focus on emerging technologies and career advancement.
- Why this job: Make an impact by designing scalable data pipelines in a collaborative environment.
- Qualifications: Strong skills in Python, SQL, and cloud data engineering required.
The predicted salary is between 60000 - 80000 £ per year.
Join a high-performing team building cutting-edge data, machine learning and AI solutions on a modern cloud platform. You'll design scalable data pipelines, develop innovative data products, and work with the latest technologies in a collaborative, agile environment.
Main Responsibilities as Data Engineer:
- Build and support data products within our modern data platform
- Design and deliver solutions with engineers, scientists and product teams
- Develop and optimise data pipelines across the analytics platform
- Integrate data from varied sources with strong quality standards
- Maintain orchestration, monitoring and performance of data components
- Improve engineering processes across the wider data community
- Promote high coding and data practice standards
- Experiment with emerging data, ML and AI technologies
What you'll need:
- Strong Python, PySpark, SQL and Databricks or Snowflake experience
- AWS cloud data engineering expertise
- Experience building scalable batch and real-time data pipelines
- Airflow, CI/CD, Git and modern engineering practices
- Knowledge of Terraform or similar IaC tools
- Experience with Docker and Kubernetes is beneficial
- Exposure to production Generative AI is an advantage
Data Engineer - HYBRID in Surrey employer: Proactive Appointments
Join a forward-thinking company that prioritises innovation and collaboration, offering a hybrid work model that promotes flexibility and work-life balance. With a strong focus on employee growth, you'll have access to continuous learning opportunities and the chance to work with cutting-edge technologies in a supportive environment. Our culture encourages experimentation and high coding standards, making it an ideal place for passionate data engineers to thrive and contribute to impactful projects.
