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About the role
- Senior Data Engineer & Analytics Lead creating scalable cloud-based data solutions for Keyrus. Requires strong data engineering and analytics skills for effective data lifecycle management.
Responsibilities
- Architect, build, and optimise cloud-native data pipelines and big data ecosystems using Azure
- Perform data ingestion, transformation, and enrichment, ensuring high data quality and reliability across downstream use cases
- Conduct basic exploratory data analysis (EDA) and generate insight-ready datasets to support business stakeholders and analytics teams
- Present data findings and performance insights clearly to both technical and non-technical stakeholders
- Ensure all Non-Functional Requirements (security, performance, scalability, DR, compliance) are embedded in design and implementation
- Evaluate and prototype modern data technologies, leading POCs to drive innovation and continuous improvement
- Collaborate with Data Governance teams to ensure accurate metadata and lineage tracking (e.g., via Collibra or similar tools)
- Advocate for data mesh principles, reusable data products, and best practices across engineering and business teams
- Leverage DevSecOps and automation tools (Terraform, GitHub, CI/CD) to streamline deployment and operational excellence
Requirements
- 10+ years of hands-on experience in data engineering in enterprise/cloud environments
- Proven experience building data pipelines on Azure (Azure Data Factory, Databricks, Synapse, or equivalent)
- High proficiency in Python and analytical scripting (Pandas, data inspection, validation scripts)
- Experience performing data joins, validation, quality checks, and exploratory insights aggregation
- Understanding of data migration processes and working with distributed client/service data across multiple sources
- Strong understanding of data lake/data warehouse architectures and modern data platform patterns
- Ability to build Power BI dashboards (experience with Tableau or another BI tool is also acceptable)
- Previous experience in Snowflake development is a nice-to-have
- Skilled in DevOps, CI/CD and Agile methodology
- Ability to translate complex technical concepts into clear business-relevant insights
- Experience collaborating with multidisciplinary teams, including Data Scientists, Analysts, Governance, and Product stakeholders.
Benefits
- Competitive holiday allowance
- Very comprehensive Private Medical Plan
- Flexible working patterns
- Workplace Pension Scheme
- Sodexo Lifestyle Benefits
- Discretionary Bonus Scheme
- Referral Bonus Scheme
- Training & Development via KLX (Keyrus Learning Experience)
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