Associate Data Engineer

The team's role is to augment the existing business with new innovation, insights and digital products as a self-starting, fast paced, solution development team.

We’re growing fast and need innovative, adaptable individuals to help scale our operations and deliver value to customers. If you thrive in agile environments, enjoy solving complex problems, have a curious mind and relish a challenge—let’s talk!

We’re looking for someone who is comfortable working in an agile environment, can capture requirements and has a sharp eye for data quality and analysis. There will also be plenty of opportunity to shape the role going forward: every team member has a growth mindset and we collaborate closely to solve challenges together, very often beyond our core roles.

Requirements

Your role:

• Maintain a user and energy curiosity within our business serving data insights to internal and external stakeholder. Providing data than can directly inform future change in our business.
• Own the development and implementation of data pipelines ETL and modelling using the latest Microsoft technologies: MS Fabric and Databricks.
• Work with other members of the team to understand and document business requirements, evaluate options, research, and propose suitable solutions.
• Collaborate with fellow team members to capture requirements, evaluate options, and recommend best suitable solutions.
• Ensure that all work is carried through the environments, source controlled with regularity and that deployment packages are robust and well organised.
• Document our processes to ensure they are clear, repeatable, and change can be controlled where it is required.
• Working with system and business owners to ensure a proactive approach while supporting data governance and going international.
• Identifying new ways to deliver business value, especially around Azure data intelligence capabilities.
• Ensure we follow best practices within MS Azure while maintain the budget.

What you can bring:

• Strong curious and analytical mindset with a passion for data-driven problem solving
• Experience with SQL, and NoSQL databases and modelling best practices.
• Expertise in statistical analysis, including regression analysis and other predictive modelling techniques.
• BSc in CS or related field.
• At least 4 years of experience working in a related function.
• Experience in ETL, data modelling, and streaming.
• Experience with Python and PySpark.
• Passion for clarity and using data and statistical methods to uncover insights.
• Ability to collaborate communicate technical concepts to non-techies.
• Experience with MLOps, and Power BI is a plus.
• Knowledge in Geo Data is a plus.

Benefits

• 28-days of annual leave, plus your birthday and one volunteering day off
• Sustainable pension contributions
• Remote working, flexible working hours and hybrid working model
• Private healthcare
• Life insurance
• Employee Assistance Scheme
• Continuous professional development to support your career growth
• A passionate team