Associate Analytics Engineer
Role details
Job location
Tech stack
Job description
About the role: We are looking for a Data Analyst / Junior Data Engineer to join our Data Operations team. This is a development role, ideal for someone early in their data or software career who wants hands on experience improving python code, working with Azure Databricks, building dashboards and automating operational processes., * Python and data development - You will be responsible for reviewing, fixing, and maintaining existing Python codebases to ensure optimal performance and reliability. In addition, you will write clean, well-documented Python code that adheres to best practices and supports scalability. The role also involves contributing to the development of data pipelines and scripts within Azure Databricks, enabling efficient data processing and integration across systems
- Dashboards, analysis and reporting - You will help build and maintain dashboards using Databricks SQL, notebooks, and Power BI to deliver clear and actionable insights. The role involves learning how to translate business requirements into accurate and meaningful reports that support decision-making. Additionally, you will validate data quality and investigate any discrepancies to ensure reliability and consistency across all outputs.
- Automation and operations - You will assist in automating recurring data and administrative tasks to improve efficiency and reduce manual effort. The role includes learning how to streamline processes and minimise operational risk through automation. Additionally, you will support the monitoring and troubleshooting of data to ensure accuracy and reliability across systems.
- Growth and support - You will learn best practices for Git, testing, documentation, and deployment to ensure high-quality and maintainable code. In addition, you will take ownership of small projects, gaining hands-on experience in managing tasks from start to finish and delivering reliable solutions.
- Workload Management - Effectively prioritize and manage your workload
Requirements
Essential:
- Knowledge of and experience working with Python (coursework, internship or commercial).
- Intermediate understanding of SQL.
- Interest in data engineering, analytics or automation.
- Comfortable working independently and with guidance.
Desirable:
- Experience of working in Azure, Databricks or other cloud based platforms.
- Experience of building with dashboards in PowerBI.
- Experience building dashboards or reports.
- Familiarity with Git or version control.
- Background in data analysis, STEM or computer science.
This is a developmental role suited to someone looking to build experience in data-focused service delivery, working closely with colleagues across multiple teams.
Benefits & conditions
- Generous holiday allowance with the option to buy additional days
- Health screening, eye care vouchers and private medical benefits
- Wellbeing programs
- Life Assurance
- Access to a competitive contributory pension scheme
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES days, giving you time to support the charities and causes that matter to you
- Access to employee resource groups with dedicated time to volunteer
- Access to extensive learning and development resources
- Access to employee discounts scheme via Perks at Work
