Senior Data Engineer / Architect

Your role

We are looking for a Senior Data Engineer / Architect to help shape and evolve the data platform that powers finance reporting and analytics across the organisation.

This is a senior, hands-on role where you will combine technical expertise with ownership of enterprise data solutions. You will influence architecture, define engineering standards, and work closely with the Finance BI team and business stakeholders to deliver trusted, scalable data that supports business decision-making.

What will you do?

• Design, build, and optimise enterprise-scale data pipelines and platforms for finance reporting and analytics.
• Own and define data architecture, engineering standards, and best practices, ensuring solutions are scalable, maintainable, secure, and sustainable.
• Translate complex finance requirements into robust technical solutions in collaboration with Finance BI and business stakeholders.
• Ensure data is accurate, reconciled, auditable, and compliant with governance and regulatory requirements.
• Establish and continuously improve data quality, monitoring, and governance frameworks.
• Lead technical discussions, influence architectural decisions, and represent Data Engineering in cross-functional initiatives.
• Mentor and support other engineers, promote engineering best practices, and contribute to the growth of the data engineering capability.
• Drive continuous improvement across platforms, tooling, and processes to enhance performance, reliability, and cost efficiency.

To succeed, you will need

• Extensive experience in Data Engineering or Business Intelligence within a complex environment, with a proven track record of delivering enterprise-scale data platforms and pipelines.
• Expert SQL skills and strong hands-on experience with Databricks (PySpark) and Python, including working with large and complex datasets.
• Experience designing analytical data models (e.g. star and snowflake schemas) and a good understanding of how data is consumed in reporting tools such as Power BI.
• Experience working with finance data, including financial reporting, KPIs, reconciliation, and data quality requirements.
• Ability to communicate complex technical concepts, influence technical decisions, and collaborate effectively with both technical and business stakeholders.
• Strong commercial awareness with the ability to balance technical solutions with finance and business priorities.
• Fluent English.

In return, we offer

• A healthy work-life balance with a 37.5-hour working week, 5 weeks of vacation plus 3 additional days off, and a range of wellbeing benefits including seminars, workshops, a Multisport card or wellness vouchers.
• A hybrid working model combining home office with work from our modern offices near the city centre, alongside a supportive and collaborative team environment.
• Excellent opportunities for professional growth, clear career paths, supportive leadership, and individual development plans.
• Continuous learning through LinkedIn Learning, language courses, soft skills training, and other development opportunities.
• Annual salary review, pension contribution, and childcare contribution for children up to the age of three.