Senior Data Engineer

Allianz Management Services Ltd; Greater London; Hybrid; GBP 60,000; Full time

Job summary

A leading international insurance company is seeking a Senior Data Engineer to develop machine learning products that address core business challenges. The ideal candidate will have proven experience with Azure, strong Python skills, and a collaborative mindset. This is a hybrid role based in Greater London with flexibility to work from various office locations. The role includes responsibilities such as creating data solutions and contributing to project delivery. Various benefits, including flexible working options, are offered.

Benefits

Flexible buy/sell holiday options

Hybrid working

Annual performance-related bonus

Contributory pension scheme

Development days

Discount on insurance products

Retail discounts

Volunteering days

Qualifications

• Proven experience as a Data Engineer or similar role.
• Familiarity with all parts of the machine learning lifecycle.
• Ability to communicate technical concepts to non-technical audiences.

Responsibilities

• Create fully operational machine learning products.
• Liaise with business experts for project delivery.
• Contribute to new tools and infrastructure.

Skills

Python expertise

ETL processes

DevOps/MLOps

Agile Methods (JIRA)

Machine Learning lifecycle

Tools

Azure

Docker

Kubernetes

SQL

PySpark

Job description

Senior Data Engineer

In this role, you will be instrumental in creating fully operational machine learning products aimed at solving problems at the core of our business. Your engagement will encompass all phases of these projects, including liaising with business subject matter experts, model extract generation, deployment, and ongoing monitoring. Additionally, you will contribute to the development of new tools and infrastructure for the team, focusing on cloud provisioning and deployed application management.

Our team is organised into smaller, stream-aligned agile teams, each working closely with various business areas and subject matter experts to cultivate a comprehensive understanding of the business, its challenges, and needs. These stream-aligned teams are slowly rotated throughout the year to foster solid relationships with diverse business areas, whilst giving you the opportunity to develop through exposure to new data challenges and domain-knowledge problems.

This is a hybrid role, with options to work from our London, Bristol, or Bournemouth offices, with a requirement to be in the office for two days each month.

Salary Information

Pay: Circa £60,000 per annum. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

About You

• Building and monitoring end-to-end machine learning solutions deployed onto Azure.
• Creating data extracts to address complex business challenges and collaborating across teams for all aspects of project delivery.
• Developing CI / CD processes to help automate workflows.
• Working within an agile framework, managing tickets and collaborating on joint tasks.
• Presenting project findings to stakeholders and internal teams, communicating at appropriate technical levels.
• Staying up to date with the latest cloud and data technologies as you contribute to building new tools and infrastructure.

Essential Skills

• Proven experience as a Data Engineer or in a similar role, with experience in building data solutions on Azure or other public cloud platforms.
• Familiarity with all parts of the machine learning lifecycle, from scoping and development to deployment and model maintenance.
• Expertise in Python, with clean, well-documented, and unit-tested coding skills.
• Proficiency in ETL processes for reading, transforming, and verifying data using tools such as SQL and PySpark.
• Experience with DevOps / MLOps practices, including CI / CD, release management, Kubernetes, and Docker.
• Familiarity with Agile Ways of Working (JIRA).
• Ability to deliver projects and explain technical concepts to non-technical audiences.
• Committed to continual improvement of your technical skills throughout your career.
• Strong collaborative mindset with the ability to foster a positive and inclusive team environment.

We support the government scheme “Access to Work” please feel free to ask us about the access to work scheme.

Desirable Skills

• Knowledge of GDPR-compliance and data governance in the context of machine learning.
• Experience in insurance or financial services.
• Familiarity with OpenAI, GPT, or other LLM technologies.
• Infrastructure management, including monitoring, backup, and disaster recovery.

What We Will Offer You

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including :

• Flexible buy / sell holiday options
• Hybrid working
• Annual performance related bonus
• Contributory pension scheme
• Development days
• A discount up to 50% on a range of insurance products including car, home and pet
• Retail discounts
• Volunteering days

Our Ways of Working

Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.

Integrity, Fairness, Inclusion & Trust

At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations : EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer.

We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success.

We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role.

Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications. [e-mail]

For any inquiries or to submit your application, please contact : Conor McCourt

Closing date December 14th 2025

We reserve the right to close the advert early if we reach enough applications.

Join us - Let’s Care for Tomorrow.

#LI-Hybrid