Data Engineer for Real-Time Information Aggregation and Analysis
3 semanas atrás
At Signal AI, we strive to empower organisations with real-time information aggregation and analysis capabilities.
Your Role
We are seeking a skilled Data Engineer to join our team. As a key member of our engineering team, you will be responsible for designing, implementing, and maintaining large-scale data processing systems that can handle massive volumes of data in real-time. Your work will involve collaborating with cross-functional teams to identify and develop innovative solutions that drive business value.
Key Responsibilities
- Design and implement scalable data pipelines using Terraform as IaC and AWS as cloud provider
- Develop high-performance services that can handle large volumes of data
- Work with various technologies such as Clojure, Python, React, Angular, ElasticSearch, PostgreSQL, S3
- Collaborate with the definition of products built and delivered, including design and product perspectives
- Communicate with other teams and stakeholders when necessary
Requirements
- Bachelor's degree in Computer Science or related field
- Experience in data engineering, software development, or a related field
- Strong understanding of cloud computing, big data, and machine learning concepts
- Proficiency in languages such as Java, Python, C++
- Experience with Terraform and AWS is highly desirable
- Excellent communication and collaboration skills
What We Offer
- Salary: £85,000 - £110,000 per annum
- Hybrid remote policy with 2-3 days remote per week, plus summer & winter fully remote blocks
- Unlimited holiday entitlement
- Coverflex Meal Cards, Health Insurance & discounts
- Maternity, Paternity and Dependents Leave policies
- Access to free therapists via Spill
Why Join Us
We are a friendly and informal company that values diversity, equity, and inclusion. We believe in creating an environment where everyone feels welcome, valued, and listened to. If you share our passion for real-time information aggregation and analysis, and want to contribute to shaping the future of data engineering, we encourage you to apply.
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