Job Title: Senior Data Engineer
Contract Type: Permanent
Location: Edinburgh, Glasgow, Alderley Park
Working style: Hybrid 50% home/office based
Closing date: Friday 7th March
We have a fantastic opportunity for a Senior Data Engineer to join Royal London. The successful candidate will be responsible for identifying, defining, managing, and delivering data, tools, and other technical assets to enable analytics, data science, and machine learning projects. These initiatives aim to generate insights, address key business questions, solve business problems, and support decision-making at all levels of the organization.
In addition to these responsibilities, the Senior Data Engineer will serve as a mentor for junior team members, promoting engineering best practices and maintaining technical standards. The role also involves managing the delivery of multiple projects across the team, acting as an internal subject matter expert for data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning.
* Source and prepare data for use in Business Intelligence (BI), Analytics, and Data Science projects and initiatives.
* Engage with stakeholders and subject matter experts (SMEs) to identify new opportunities to apply these techniques.
* Source, evaluate, interpret, and manage multiple disparate data sources.
* Understand, own, and manage the team’s data – working with business, technology, and external partners. Play a lead role in the strategic evolution of the data model to meet business needs.
* Design and develop data pipelines for cloud platforms.
* Design and develop analytics tools that can be used by the team and by wider business users.
* Prototype solutions to explore business hypotheses in an agile and iterative way, supporting a learn fast/fail fast methodology.
* Deploy and productionize data pipelines created by the team through CI/CD so that they are available for consumption by the data science and data visualization team.
About you
* A comprehensive understanding of Business Intelligence and analytics languages and tools, including Python, SQL, Pyspark.
* Extensive experience in applying analytics and data science techniques, including predictive modelling, data mining, and the analysis of large datasets.
* Expertise in data engineering and the application of data management design, such as Data Lakes and Data Warehouses.
* Significant experience with cloud-based data and analytics technologies, including Azure Data Factory and DataBricks.
* Proficiency in creating efficient data marts and warehousing on the cloud using Lakehouse architecture.
* Excellent knowledge of software engineering and architecture principles, including expert knowledge of the Software Development Life Cycle (SDLC).
* A proven track record in leading cross-functional projects to successful conclusions.
* Experience in mentoring and coaching junior team members.
* Proficiency in managing multiple stakeholders.
About Royal London
We’re the UK’s largest mutual life, pensions and investment company, offering protection, long-term savings and asset management products and services.
Our People Promise to our colleagues is that we will all work somewhere inclusive, responsible, enjoyable and fulfilling. This is underpinned by our Spirit of Royal London values; Empowered, Trustworthy, Collaborate, Achieve.
We've always been proud to reward employees by offering great workplace benefits such as 28 days annual leave in addition to bank holidays, an up to 14% employer matching pension scheme and private medical insurance. You can see all our benefits here - Our Benefits
Inclusion, diversity and belonging
We’re an Inclusive employer. We celebrate and value different backgrounds and cultures across Royal London. Our diverse people and perspectives give us a range of skills which are recognised and respected – whatever their background.