Senior Data Engineer
New
W
WriskFinancial Technology
Edinburgh, Scotland, United KingdomFull-TimeSenior
Salary70,000 - 80,000 GBP per year
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Job Details
- Experience
- 5+ years
- Required Skills
- PythonSQLCloud ComputingETLMicrosoft Power BIData engineeringCI/CDData modeling
Requirements
- Bachelor's degree in Computer Science, Data/Software Engineering, or a related discipline.
- 5+ years of hands-on experience in data engineering.
- Strong SQL skills.
- Strong proficiency in Python for production data engineering.
- Experience with at least one cloud provider (Azure, AWS or GCP).
- Experience with CI/CD, infrastructure-as-code and working in containerised environments.
- Familiarity with modern data stack tools: Databricks, Snowflake or RedShift.
- Experience working with reporting and modelling tools such as Power BI.
- Advanced experience in pattern recognition.
- A results-oriented mindset.
- Proactive and collaborative approach.
Responsibilities
- Design, build, and operate data ingestion and ETL/ELT pipelines for our data systems that power Atto products and customer-facing applications.
- Build and maintain our data platform architecture and infrastructure, including data pipelines, warehouses that power analytics and product features and reporting.
- Implement data modelling, schema design, and data contracts to make datasets easy to consume.
- Introduce and maintain observability, data quality checks, and automated testing for our production data flows.
- Driving impact at scale by improving data workflows, service reliability, and making Atto’s capabilities faster, more reliable and widely accessible.
- Collaborate with product managers and cross-functional teams to translate market signals and customers’ needs into innovative data-driven solutions.
- Create new systems and approaches, while continuously improving and scaling existing ones for performance, reliability, and efficiency.
- Conduct deep analysis of transactional datasets to validate data models, surface data quality issues, and propose engineering fixes.
- Optimise performance and cost of data processing and storage across cloud services.
- Communicate technical findings and recommendations clearly to both technical and non-technical stakeholders across the business.
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