Data Solutions Engineer

We are looking for an ambitious Data Solutions Engineer who will play a crucial role in helping us design, build, and maintain robust data pipelines and infrastructure. You will collaborate with cross-functional teams to ensure efficient data processing, storage, and accessibility. This is a fantastic opportunity to work on industry-leading best practices in data engineering while gaining hands-on experience with cutting-edge technologies in cloud environments.

You will have opportunities to work on bespoke customer deliveries as well as our Seriös ONE suite of data platform products.

• Design, build and maintain scalable, secure and reliable data pipelines and data platforms.
• Implement data engineering best practices, ensuring data integrity, quality, governance and security.
• Develop and maintain data models using Data Vault and Kimball methodologies to support analytical and operational use cases.
• Build solutions using structured and unstructured data sources, transforming data into trusted business assets.
• Design, develop, test and deploy high-quality Python and SQL solutions using modern software engineering practices.
• Contribute to CI/CD, Infrastructure as Code, monitoring and Data Ops practices to improve delivery quality and efficiency.
• Optimise data storage, processing and retrieval solutions for performance, scalability and cost efficiency.
• Collaborate with clients and internal teams to translate business requirements into effective technical solutions.
• Contribute to solution design, technical decision making and continuous improvement of engineering standards and delivery frameworks.
• Support data migration, integration and modernisation initiatives across a range of cloud platforms.
• Mentor and support junior team members through peer reviews, knowledge sharing and technical guidance.
• Evaluate and contribute to the adoption of emerging technologies, including AI-enabled data engineering capabilities.

The above list is non-exhaustive; you may be required to carry out any ancillary duties in relation to your role, in addition to the above mentioned list.

• Experience in a data engineering role within a cloud-based environment.
• Proven experience designing, building and supporting production data pipelines and ETL/ELT solutions.
• Strong Python and SQL skills, including developing reusable and maintainable solutions.
• Experience working with cloud data platforms such as Microsoft Fabric, Azure, AWS, GCP, Databricks or Snowflake.
• Strong understanding and practical application of Data Vault and Kimball modelling methodologies.
• Experience working with APIs, data integration patterns and large-scale data processing.
• Experience with CI/CD pipelines, version control and Dev Ops/Data Ops practices.
• Experience with Infrastructure as Code tooling such as Terraform is desirable.
• Understanding of data governance, data quality, security and compliance best practices.
• Experience working directly with stakeholders to gather requirements and deliver data solutions.
• Experience mentoring junior engineers or supporting peer review activities would be advantageous.

• Strong problem-solving skills, a commitment to quality and the ability to design scalable, maintainable solutions while seeking better ways of working.
• Excellent communication skills, with the ability to explain technical concepts clearly, work openly and build trusted relationships with technical and non-technical stakeholders.
• A consultative and customer-focused approach to delivering solutions.
• Ability to work independently, manage competing priorities and contribute across multiple engagements.
• Strong organisational skills, attention to detail and commitment to quality.
• A passion for…