Senior Data Engineer
Uttoxeter, England, United Kingdom - Remote
Applications have closed
Attractions.io
Improve guest experience, generate more revenue and unlock unparalleled visitor insights at your visitor attraction with a mobile appAs a Senior Data Engineer, you will be responsible for designing, maintaining, and optimising our data systems to drive business value and play a key role in helping build the connected guest experience of the future at theme parks, zoos, resorts and other out-of-home venues.
Your expertise in data engineering will be critical to our growth and success, so we are excited to have you onboard as we expand and innovate in our industry. Your skills will help us build modern data architectures that will enable us to provide robust products that cater to our evolving client base.
Responsibilities
- Create solutions to provide data in various forms to our wider platform, whether via databases, APIs, or streaming
- Design and architect data solutions, ensuring we use the best approach to benefit from the data we hold
- Supporting and facilitating data modelling and exploration
- Collaborate with data scientists and software developers to ensure seamless integration of ML processes
- Ensure data quality, security, and privacy are preserved in all data processing and storage processes
- Be proactive in identifying and solving data processing issues
- Continuously optimise our systems to enhance data processing and storage speed and accuracy
Requirements
- 5+ years experience in data engineering and related roles
- Experience in building and maintaining data platforms with cloud-based architectures
- Experience in AWS technologies such as Aurora, S3, Athena, Redshift, Kinesis
- Experience in Data Warehouse and Data Lake design and implementation
- Strong programming skills in Python and SQL
- Strong analytical and problem-solving skills, with the ability to work with large and complex datasets
- Familiarity with agile working practices
- Understanding of software versioning and CI/CD pipelines
- Excellent communication and collaboration skills
- Knowledge of MLOps desirable
Benefits
- Competitive salary and share option scheme
- 100% remote working with a remote work allowance
- Flexible working hours
- 33 days paid holiday
- High-end equipment
- Quarterly company off-sites at fantastic attractions (our customers)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile APIs Architecture Athena AWS CI/CD Data quality Data warehouse Engineering Kinesis Machine Learning MLOps Pipelines Privacy Python Redshift Security SQL Streaming
Perks/benefits: Competitive pay Flex hours Startup environment
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