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As a Data Analytics Engineer within the Data Team, you will work at the intersection of data engineering and analytics, supporting both Data Operations and Data Services. You will collaborate closely with the Data Operations Lead, Data Services Lead, Technical Lead, and Data Scientist to ensure robust data infrastructure and deliver actionable insights to business stakeholders. This hybrid role provides end-to-end ownership of data workflows, from ingestion and transformation to analysis and reporting, and is central to the team’s ability to respond flexibly to demand.
Job Responsibility:
Design, develop, and maintain ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources
Ensure data quality, integrity, and reliability across platforms
Manage and optimise databases, data warehouses, and cloud data environments (e.g., Azure, AWS)
Collaborate with Data Ops to ensure operational excellence and platform reliability
Collect, clean, and analyse data to identify trends, patterns, and actionable insights
Develop dashboards, reports, and visualisations using BI tools (e.g., Power BI, Tableau)
Support Data Services in delivering analytical solutions to business stakeholders
Communicate findings clearly to both technical and non-technical audiences
Work closely with Data Operations and Data Services Leads to balance priorities and allocate resources effectively
Partner with Technical Lead and Data Scientist to ensure solutions align with technical guiderails, best practices, and advanced analytical approaches
Engage with business stakeholders to understand requirements and deliver value-added solutions
Champion a culture of learning, innovation, and process optimisation
Stay current with emerging data technologies, analytics methods, and industry trends
Proactively introduce new tools and approaches to improve team capability and business outcomes
Ensure all data activities comply with governance, privacy, and security standards
Contribute to data management initiatives and best practices
Requirements:
Degree in a STEM subject or equivalent experience
Strong programming skills (Python, SQL, R, or similar)
Experience with cloud data platforms (Azure, AWS, GCP) and big data technologies (Spark, Hadoop)
Proficiency in BI and data visualisation tools (Power BI, Tableau)
Solid understanding of data modelling, ETL/ELT processes, and database management
Analytical mindset with strong problem-solving and communication skills
Ability to work collaboratively in multidisciplinary teams and engage with stakeholders at all levels
Commitment to continuous learning and professional development
What we offer:
Negotiable basic salary
Holiday
Company pension
A collaborative, open and honest environment
A flexible working methodology
An environment built around supporting and developing our staff with funding available for relevant professional qualifications