JOB TITLE:
Data Engineer
DEPARTMENT:
Data
LOCATION:
Hybrid – 3 days per week in office
ABOUT THE ORGANISATION
This organisation believes that everyone should have the confidence and capability to access, understand, and manage their money effectively. Its mission is to enhance financial wellbeing by providing clarity, intelligence, and technology that empower individuals to make smarter financial decisions.
Although relatively young, the company has established a strong team with ambitious goals for the future. Its products are designed to simplify financial matters, giving customers greater control and flexibility in managing their finances. By helping people make smarter decisions, the organisation enables them to focus less on financial stress and more on enjoying life.
With a strong data framework already in place, the company remains agile and open to innovation. The Data Engineer will have the opportunity to take on a wide range of responsibilities, focusing on building and expanding the organisation’s data platform and capabilities.
ABOUT THE ROLE
The Data Engineer will play a key role in developing and maintaining the company’s data platform to support its broader data strategy. This individual will ensure that internal and external stakeholders have access to reliable, timely data, collaborating closely with business intelligence and analytics teams to drive strategic goals.
Responsibilities:
Build and maintain self-serve data capabilities to enhance data literacy and empower non-technical teams.
Develop and implement components of the data platform to ensure high-quality, consistent, and timely access to information.
Collaborate with stakeholders to understand business requirements and translate them into effective technical solutions.
Support the creation and maintenance of datamarts and integrations with business systems.
Monitor and improve data quality, consistency, and security across the platform.
Support the development and implementation of data models, pipelines, and data warehouses.
Stay informed of emerging trends and technologies within the data engineering field.
ABOUT THE CANDIDATE
Ways of Working:
Collaborative approach within a fast-paced, dynamic environment.
Proactive in automating tasks to create space for continuous improvement.
Maintains clear and up-to-date documentation to enable knowledge sharing.
Uses checks and validation processes to ensure data accuracy and reliability.
Approach and Mindset:
Self-motivated, with a natural curiosity about how systems and processes interconnect.
Comfortable working in a growing, evolving environment where adaptability and teamwork are key.
Qualifications \& Experience:
Proficiency in programming languages such as Python and SQL.
Experience with data integration tools and technologies (e.g. DLT, Meltano, APIs, Kafka).
Knowledge of cloud platforms such as AWS.
Familiarity with modern data platforms (e.g. Databricks, Snowflake, or BigQuery).
Strong communication and collaboration skills.
Proven experience in data engineering or data platform development.
BENEFITS
Private Medical Care:
Access to premium healthcare facilities and professionals.
Health Cash Plan:
Contributions toward everyday health treatments, including digital physio and skin clinic services.
Gym Discounts:
Access to reduced-rate gym memberships.
Life Assurance:
Coverage providing four times annual salary.
Pension Scheme:
3% employer and 5% employee contribution.
Leave:
25 days annual leave, with the option to buy or sell up to 5 days.
Additional day off on birthday.
5 days of volunteering leave.
Employee Assistance Programme:
Holistic wellbeing support for personal and professional challenges.
Learning and Development:
Opportunities for ongoing professional growth and development.