Data Engineer
Role details
Job location
Tech stack
Job description
· Design, develop, and maintain scalable data warehouse architecture and solutions to consolidate data from multiple in-house and third-party sources.
· Build and optimize ETL pipelines using modern tools, automation and best practices.
· Develop and maintain dashboards, visualizations, and reports using Power BI.
· Collaborate with business stakeholders to gather requirements, translate them into data solutions, and deliver actionable insights.
· Ensure data integrity, quality, consistency and security across the warehouse and reporting environments.
· Optimize performance of queries and data loads in the warehouse environment.
· Troubleshoot and optimize models, and efficient performance.
· Maintain documentation of data models, data flows, and reporting solutions.
· Participate in data governance and contribute to the continuous improvement of data architecture and standards.
· Collaborate with and support our AI team to leverage LLM and machine learning tools to enhance reporting capabilities, automate data insights, and drive predictive analytics.
Requirements
Do you have experience in Scrum?, If you are highly self-motivated, talented and up for the challenge of growing an already well-established business you'll be a welcome addition to the team!', We are seeking a motivated Data Engineer with experience in data modelling, ETL development, and data analytics to join our growing Software & Data Engineering team. The ideal candidate will play a key role in designing, developing, and maintaining our enterprise data warehouse and infrastructure to support customer-facing software and reporting, and data-driven decision-making across the organization., · 2+ years of experience in Software or Data Engineering, ETL development, and data analytics.
· Proficiency in SQL and data modelling techniques.
· Strong analytical and problem-solving skills with an ability to work in agile development environment independently.
· Experience with reporting platforms such as PowerBI
· Experience with data warehouse platforms (e.g., Snowflake, Azure Synapse, Redshift, BigQuery, or similar).
· Ability to work independently and manage multiple projects simultaneously.
· Excellent communication and collaboration skills.
Preferred Qualifications:
· Exposure to Agile/Scrum methodologies.
· Experience with cloud platforms (Azure, AWS, or GCP).
· Experience in working with large-scale datasets and performance improvements
We are an equal opportunities employer and disability confident committed, * Data Engineering: 2 years (required)
- Data Warehouse Platforms: 2 years (required)
- Cloud platforms: 2 years (preferred)
Benefits & conditions
Job Types: Full-time, Permanent
Pay: From £40,000.00 per year