At a Glance
- Tasks: Design and optimise data solutions while building pipelines for insightful data transformation.
- Company: Join a forward-thinking tech company focused on data innovation.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on modern data technologies and career advancement.
- Why this job: Make an impact by driving automation and supporting cutting-edge AI and analytics projects.
- Qualifications: Experience in data warehousing, ETL processes, and system integration is essential.
The predicted salary is between 45000 - 55000 £ per year.
Responsibilities
- Designing, developing, and optimising data warehouse solutions
- Building and maintaining ETL/ELT pipelines to transform raw data into usable insights
- Developing and managing integrations between systems (including APIs)
- Ensuring data quality, integrity, and consistency across platforms
- Implementing monitoring, alerting, and performance optimisation
- Supporting medallion architecture and modern data lake practices (e. g., Delta Lakes)
- Contributing to CI/CD pipelines, Dev Ops practices, and source control (Git)
- Collaborating with stakeholders to deliver valuable, data-driven outcomes
- Supporting AI, machine learning, and advanced analytics use cases
- Driving automation across data pipelines and processes
Requirements
- Experience with data warehousing concepts and architectures
- Strong knowledge of ETL/ELT processes and data transformation
- Experience integrating systems using APIs or other methods
- Familiarity with modern data technologies (e. g., Parquet, Delta tables/lakes)
- Ability to perform exploratory data analysis using tools such as Excel or programming languages
- Experience with Git, CI/CD, and Dev Ops practices
- Strong problem-solving skills and attention to detail
- A collaborative mindset with the ability to work with technical and non-technical stakeholders
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We think you need these skills to ace Data Engineer in Norwich
SQL
Problem-Solving Skills
Python
Data Pipeline Development
Communication Skills
Data Engineering
API Integration
