Principal Data Analytics Engineer

Aegon UK; London; Hybrid; GBP 69,000 - 105,000; Full time

Job summary

A leading company in London seeks a Principal Data Analytics Engineer to drive data analytics and AI initiatives. You will lead a team, design data solutions, and collaborate with stakeholders to enhance decision-making. This role offers a competitive salary and numerous benefits, including a non-contributory pension and generous leave.

Benefits

Non-contributory pension

Discretionary bonus

36 days leave per year

Private medical cover

Life assurance

Critical illness cover

Enhanced parental leave

Retail discount vouchers

Cycle2work scheme

Subsidised restaurant

Qualifications

• Proven experience in a Senior, Lead or Principal Data Analytics role.
• Strong knowledge of data architecture and scalable system design.
• Hands-on experience with Python, SQL, and cloud infrastructure tools.

Responsibilities

• Lead data analytics, visualisation, and AI initiatives.
• Design and deliver business dashboards and reports.
• Collaborate with stakeholders to ensure timely delivery.

Skills

Leadership

Data Analytics

Machine Learning

Business Intelligence

Collaboration

Tools

Tableau

Power BI

QuickSight

Python

SQL

PySpark

AWS

Job description

Job Description Summary

Job Description

Principal Data Analytics Engineer

Permanent

Location: London (We believe in the power of in-person collaboration, and our hybrid model requires colleagues to be in the office a minimum of 40% of their time)

Salary: A competitive salary from £69,760 - £104,640, depending on the experience you can bring

Closing date: 30th May 2025

We’re a company of ambitious, collaborative problem-solvers who get things done – we’re looking for like-minded people to join us.

We help people live their best lives. We help them with the big stuff, for the moments that matter: Pensions, Savings, Investments. At Aegon, we strive in creating a diverse organisation that plays a meaningful role in driving greater equity, inclusion and belonging.

Data is crucial to our organisation - it shapes how we operate every day and is fundamental to achieving our goals. As we continue to evolve, our data function is undergoing a transformation. We're reimagining how we work, incrementally improving our data architecture, strengthening our engineering practices, expanding our capabilities, and driving innovation across the business.

We are currently hiring for a Principal Data Analytics Engineer to join our team in London. In this role, you will lead our data analytics, visualisation, business intelligence, and AI initiatives. You’ll collaborate with data engineers, analysts, product managers, and stakeholders to deliver innovative, self-service data solutions that drive strategic decision-making.

Key Responsibilities:

• Leadership & Mentoring: Guide a team of data analytics and business intelligence engineers, fostering a culture of continuous learning through mentoring, code reviews, and structured development. Own the team’s capabilities and outputs.
• Data Analytics and Visualisation: Leveraging BI tools such as Tableau, Power BI, and QuickSight, you will design, build, and deliver business dashboards and reports. These information and insights will enable business users to analyze data and make critical, informed strategic and operational business decisions.
• AI and Machine Learning: You will be responsible for designing, implementing, and maintaining machine, deep learning and Large Language Model (LLM) pipelines and infrastructure.
• Cross-Functional Collaboration: Work with stakeholders to gather requirements, design solutions, and ensure timely, high-quality delivery.
• Best Practices & Quality: Champion coding standards, quality assurance, and automated testing to ensure data reliability and performance.

We’d love to hear from you if you have:

• Proven experience in a Senior, Lead or Principal Data Analytics or Business Intelligence role, delivering solutions with tools such as Power BI, Tableau, or QuickSight, and applying advanced analytics solutions using Machine Learning and Artificial Intelligence techniques.
• Strong knowledge of data architecture, data modelling, and scalable system design in modern cloud environments.
• Design and delivered self-service business intelligence and advanced analytics solutions for focused business data users.
• Hands-on experience with Python, PySpark, SQL, and infrastructure-as-code tools (e.g., AWS CloudFormation, Terraform).
• Deep expertise in AWS (EC2, S3, Lambda, API Gateway) or equivalent services in GCP/Azure.
• Proficiency with SQL and NoSQL databases (e.g., MySQL, PostgreSQL, Redshift, Snowflake, DynamoDB, MongoDB).
• Strong coding practices and experience implementing robust data quality and monitoring frameworks.
• Understanding of data security, governance, and compliance.
• Working experience of data governance and managements solutions like Alation, Collibra and AWS DataZone.
• Demonstrated leadership in mentoring teams and aligning technical solutions with business goals.

What’s in it for you?

• A non-contributory pension between 8%-12%
• A discretionary bonus, depending on personal and company performance
• 36 days leave per year (including bank holidays, pro-rated for part-time)

We also offer private medical cover, life assurance, critical illness cover, enhanced parental leave and a variety of lifestyle benefits to help our employees live their best lives, including retail discount vouchers, cycle2work scheme, subsidised restaurant and online GP appointments. To find out more about what to expect at Aegon click here.

We're looking for talented individuals who are ready to make a real impact. If you're excited about new challenges and want to work with a team that values your skills, apply today!

The legal bits

We’ll need you to confirm you have the right to work in the UK. If we offer you a job and you accept, there are some checks we need to complete before you can start with us. This will include a credit and criminal record check, as well as providing satisfactory references.

Equal Opportunity Employer:

We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their age, disability, race, religion/belief, gender, sexual orientation or gender identity.