Associate Analytics Engineer - FTC

⭐ - Featured Role | Apply direct with Data Freelance Hub

This role is for an Associate Analytics Engineer on a 1-year FTC, offering a pay rate of "£XX per hour." Key skills include Python, SQL, and experience with Azure Databricks. A background in data analysis or computer science is preferred.

United Kingdom

London Area, United Kingdom

With more than 10,000 global customers, Brightmine, formerly Xpert

HR, is a leading provider of people data, analytics, and insight for the HR sector. We help HR leaders confidently navigate the evolving world of work through our unique combination of critical workforce data, AI-enabled technology, and trusted HR expertise. At the same time, we’re creating an inclusive, people-focused environment of our own. A culture where individuals with ambition, curiosity, and ideas can make an impact.

Where you can think big, aim high and explore more.

We are the data operations team, working with global reward data and comprising a mixture of data analysts, reward specialists, and data delivery specialists. We are a team of 6.

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 – review, fix, and maintain existing Python codebases to ensure optimal performance and reliability. Write clean, well‑documented Python code that adheres to best practices and supports scalability. Contribute to the development of data pipelines and scripts within Azure Databricks, enabling efficient data processing and integration across systems.
• Dashboards, analysis and reporting – build and maintain dashboards using Databricks SQL, notebooks, and Power BI to deliver clear and actionable insights. Translate business requirements into accurate and meaningful reports that support decision‑making. Validate data quality and investigate discrepancies to ensure reliability and consistency across all outputs.
• Automation and operations – automate recurring data and administrative tasks to improve efficiency and reduce manual effort. Streamline processes and minimise operational risk through automation. Support the monitoring and troubleshooting of data to ensure accuracy and reliability across systems.
• Growth and support – learn best practices for Git, testing, documentation, and deployment to ensure high‑quality and maintainable code. Take ownership of small projects, gaining hands‑on experience in managing tasks from start to finish and delivering reliable solutions.
• Workload management – effectively prioritise and manage your workload.

• Knowledge of and experience working with Python (coursework, internship, or commercial).
• Intermediate understanding of SQL.
• data engineering, analytics, or automation.
• Comfortable working independently and with guidance.

• Experience working in Azure, Databricks, or other cloud‑based platforms.
• Experience building dashboards in Power BI.
• Experience building dashboards or reports.
• Familiarity with Git or version control.
• Background in data analysis, STEM, or computer science.

• Generous holiday allowance with the option to buy additional days.
• Health screening, eye‑care vouchers, and private medical benefits.
• Wellbeing programmes.
• 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.

This is a developmental role suited to someone looking to build experience in data‑focused service delivery, working closely with colleagues across multiple teams.