Senior Data Engineer

Job Title: Senior Data Engineer

Contract Type: Permanent

Location: Alderley Park or Glasgow

Working style: Hybrid 50% home/office based

Closing date: 20th December 2024

A Senior Data Engineer will identify, define, manage, and deliver the data, tools, and other technical assets necessary for analytics, data science, and machine learning projects. These initiatives will generate insights, answer key business questions, solve business problems, and support decision-making at all levels of the organization.

Additionally, the Senior Data Engineer will mentor junior team members, promote engineering best practices, and maintain technical standards. They will also lead work streams, manage the delivery of multiple projects across the team, and serve as an internal SME for data, tooling, and technical practices related to data engineering for business intelligence, analytics, data science, and machine learning.

About the role

• Source, prepare, and manage data for BI, Analytics, and Data Science projects, ensuring strategic evolution of the data model.
• Design and develop data pipelines and analytics tools, deploying them through CI/CD for team and business use.
• Collaborate with stakeholders and subject matter experts to identify new opportunities and ensure initiatives are supported with appropriate data and tools.
• Stay updated on best practices, mentor junior team members, and manage relationships with external partners to enhance capabilities.
• Build and maintain relationships with key stakeholders, present regularly on relevant topics, and keep abreast of technical advancements through external partnerships.

About you

• Proven track record in leading cross-functional projects to successful conclusions and mentoring junior team members.
• Technical Proficiency: Broad understanding of BI and analytics tools (Python, R, SQL, Pyspark, Spark, Scala) and Microsoft SQL Server technologies (T-SQL, SSIS). Experience with various programming languages (C family, Java, Julia).
• Expertise in applying analytics and data science techniques, including predictive modeling and data mining. Proficient in data engineering and management design (data lakes, data warehouses).
• Considerable experience with cloud-based data and analytics technologies (Azure Data Factory, DataBricks) and creating efficient data marts/warehousing using Lakehouse architecture.
• Excellent communication, influencing, and presentation skills. Ability to work collaboratively in an Agile environment and effectively present complex technical concepts to diverse audiences.

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.