Senior Data Engineer
New
F
FCamaraFinancial Services
Remote from EU, UK time zoneContractSenior
Salary not disclosed
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Job Details
- Languages
- English
- Experience
- At least 5 years
- Required Skills
- PythonSQLETLGitJiraData modeling
Requirements
- At least 5 years as a Data Engineer with proven expertise in Azure data tools, particularly Azure Data Factory
- Proficiency in SQL, Python, and data engineering frameworks
- Solid understanding of data modelling (e.g. dimensional modelling, warehouse design, OLAP vs OLTP)
- Strong understanding of cloud platforms, preferably Azure, and familiarity with Azure-based data storage and processing solutions
- Knowledge of data warehousing concepts, ETL/ELT practices, and data modelling techniques
- Previous experience working within Financial Services, specifically for Savings or Lending Products
- Ability to solve complex data-related challenges and work independently on large data projects
- Strong communication skills to work effectively with stakeholders and technical teams
- Comfortable working within a cross-functional team and contributing to shared outcomes
- Experience working within product squads, where they are embedded into delivering product outcomes
- Fluency in English
Responsibilities
- Partner with Product Owners and stakeholders to translate business and product requirements into well-defined data models, pipelines, and metrics
- Design and develop scalable data pipelines, leveraging Azure Data Factory and other Azure-native tools
- Own the data layer within your product area, ensuring data is reliable, well-modelled, and fit for decision-making and product use cases
- Collaborate with team members to optimise data architecture, ensuring high performance and reliability
- Work with stakeholders to gather and refine data requirements, delivering solutions that align with business priorities
- Implement and maintain version control practices (e.g., Git), facilitating collaboration and ensuring code quality
- Maintain clear and comprehensive documentation of data workflows and processes
- Coordinate task progress using Jira, tracking and prioritising workload while working with cross-functional teams
- Contribute to the development and enforcement of data engineering standards, best practices, and documentation processes
- Actively participate in squad rituals (planning, refinement, retrospectives), contributing to prioritisation and delivery decisions
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