Senior Data Engineer

Through our client-facing brands and our other specialist brands, Momentum Group enables business and people from all walks of life to achieve their financial goals and life aspirations.

We help people grow their savings, protect what matters to them and invest for the future. We help companies and organisations care for and reward their employees and members. Through our own network of advisers or via independent brokers and utilising new platforms Momentum Group provides practical financial solutions for people, communities and businesses.

Disclaimer As an applicant, please verify the legitimacy of this job advert on our company career page.

The Senior Data Engineer is responsible for delivering and evolving data engineering capabilities that enable trusted analytics, reporting, and insight generation across Momentum Investments. The role focuses on the design, build, and operational support of scalable data pipelines and data platforms, ensuring data is secure, high - quality, and readily available to downstream consumers. Operating within an Agile delivery environment, the Senior Data Engineer works closely with fellow Data Engineers, analytics and BI teams, Product Owners, and business stakeholders.

Beyond hands-on engineering, this role carries accountability for technical direction within the team, supporting design decisions, uplifting engineering standards, and guiding the use of AI capabilities in a controlled, governance - aligned manner to improve delivery effectiveness.

• Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related discipline. Relevant certifications are beneficial.
• 4–7+ years of professional experience in data engineering or related roles.
• Demonstrated experience delivering production-ready data pipelines and platforms.
• Strong exposure to AWS-based data architectures.
• Hands-on experience working within Agile or SAFe delivery environments.
• Exposure to implementing AI tooling or capabilities within engineering workflows.
• Demonstrated ability to apply AI responsibly in engineering work, including validation of outputs.
• Practical experience using AI to support data pipeline understanding, optimisation, testing, or documentation.
• Advanced Python and SQL capabilities.
• Strong foundation in data modelling, analytics-oriented schema design, and data warehousing principles.
• Experience ingesting data from relational databases, cloud storage, APIs, and file-based sources.
• Proficiency with Git-based version control, CI/CD pipelines, and automation.
• Familiarity with analytics and BI tools such as Power BI.

• Contribute to the delivery of data engineering outcomes aligned to sprint goals and program-level commitments.
• Actively engage in Agile ceremonies, contributing to planning, estimation, prioritisation, and continuous improvement discussions.
• Decompose data features into implementable tasks and provide reliable effort estimates.
• Ensure outputs meet agreed functional, performance, and data quality expectations.

• Design and implement data ingestion and transformation pipelines across multiple systems and data domains.
• Build solutions that support scalable batch and incremental processing patterns.
• Ensure robustness of pipelines through appropriate error handling, monitoring, and alerting.
• Implement data validation and reconciliation mechanisms to maintain confidence in data assets.

• Design data solutions that align with Momentum Investments’ data platform strategy and target architecture.
• Contribute to the ongoing evolution of the cloud-based data environment (AWS-aligned).
• Assess the impact of…