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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