Senior Data Engineer

Job Level:  Professional
Location: 

London, GB, EC3V 0HR München, DE, 81737

Area of Expertise:  IT & Tech Engineering
Unit:  Allianz Commercial
Employing Entity:  Allianz Global Corporate & Specialty SE
Job Type:  Full-Time
Remote Job:  Hybrid working
Employment Type:  Permanent
ID:  79924
Position Cluster:  Non-Executive
 
 

Let’s care for tomorrow. 

Your ambitions.  Your dreams.  Your tomorrow 

Whether it’s aircraft, international business or offshore wind parks, Allianz Commercial has an extensive range of risks covered when it comes to protecting businesses.   

 

We are looking for a Senior Data Engineer (m/f/d), based in London/Munich.

  

Your Team 

The Pricing Data Engineering & Automation team is part of the Global Pricing department at Allianz Commercial and is responsible for driving the development of data solutions within Pricing across Allianz Commercial globally. You will join an international department located across London, Munich, Bucharest, Chicago and New York. 

 

The Impact You Will Have 

Our global Pricing Data Engineering & Automation team is seeking an experienced Senior Data Engineer for a role within the Pricing Function. In this role, you will work closely with the Head of Pricing Data Engineering & Automation and other key stakeholders to interrogate data and implement pipelines across the various Lines of Business and regions in Allianz Commercial to support advanced pricing. 

  

We are looking for someone who is willing to get hands on with the company’s data and to develop innovative and structured solutions to bring it together in a way that maximises its potential. This person will need to collaborate internationally with various stakeholders, both within the Pricing Function and across other Allianz Commercial functions. 

 

Some of your specific responsibilities could include: 

  • You will develop and maintain data pipelines within our Spark-based data platform to enhance the capabilities of the Pricing function 

  • You will drive the design and implementation of solutions that contribute to Global Pricings data-driven pricing approach using internal and external data, and optimising fuzzy merge processes to release the intrinsic value of data 

  • You will collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing 

  • You will develop knowledge of the company’s IT landscape, data and data systems 

  • You will implement solutions that adhere to the Data Engineering teams’ best practices for continuous improvement and participate in code reviews 

  • You will act as an expert to support the wider Pricing team on data processing and coding best practices 

  • You will contribute to a culture of results-driven collaboration, support and respect 

  • You will support the development of reporting dashboard and application development where necessary 

 

What You’ll Bring to the Role 

 

Essential Skills & Experience: 

  • You have minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally within an insurance environment 

  • You have significant experience in SQL and strong experience using PySpark to build data pipelines 

  • You have a degree at BSc or MSc level in a Numerical field, preferably with a strong focus on Computer Science or Data Engineering, or qualified by experience 

  • You have experience in data pipeline/ETL (Extract Transform Load) development, cleaning and bringing together multiple sources into a single production warehouse 

  • You have experience in analysing, debugging and solving highly complex problems 

  • You have experience taking ownership of own learning and development 

  • You have knowledge of Engineering principles such as automated testing, code abstraction, and performance optimization 

  • You have experience using cloud-based solutions (e.g Palantir Foundry, AWS, Azure, GCP, Snowflake)  

  • You have knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams 

  • You should be able to integrate AI-driven insights into your work to optimize outcomes and support broader organizational goals 

 

Nice-to-have skills (that can also be learned on the job!): 

  • You have experience in one or more other programming languages (e.g. Python, Java, C#) 

  • You have some understanding of Machine Learning and predictive modelling techniques  

  • You have some experience producing data visualisations for stakeholder

 

79924 | IT & Tech Engineering | Professional | Allianz Commercial | Full-Time | Permanent

 

What’s in it for you? 

 

Let’s care about everything that makes you, you 

We are committed to nurturing an inclusive environment where everyone feels they belong.  We offer a hybrid working model, which recognizes the value of striking a balance between in-person collaboration and remote working.  Please feel free to discuss flexible working arrangements with us. 

 

Let’s care for your financial wellbeing 

We believe in rewarding performance with a great compensation and benefits package (details vary by location), including a generous bonus scheme and pension. 

 

Let’s care for your opportunities to progress 

From career development and digital learning programs to international career mobility, we offer lifelong learning for our employees worldwide and an environment where innovation, delivery and empowerment are fostered. 

 

Let’s care for life’s twists and turns 

From our support for flexible working, health and wellbeing (including private healthcare and generous parental leave benefits), to helping people return from career breaks with experience that nothing else can teach. We've got your back. 

 

Let’s care for our society and our planet 

With opportunities to be engaged in shaping a future that is safe, inclusive and sustainable, we care for the tomorrows of our people, our industry and our clients. 

 

Care to join us? 

 

Allianz Commercial is the center of expertise of Allianz Group, insuring mid-sized businesses, large enterprises, and special risks. Our customers include top consumer brands, financial institutions, industry leaders, the global aviation and shipping industries, as well as family-owned and medium-enterprises. We also cover unique risks such as offshore wind farms, infrastructure projects and film productions. Our clients trust us to provide a wide range of traditional and alternative risk transfer solutions, outstanding risk consulting and multinational services, and seamless claims handling. Allianz Commercial helps customers to prepare for what's ahead.

 

Learn more about careers at Allianz Commercial by clicking here.

 

Learn more about Allianz Commercial by clicking here.

 

At Allianz, we stand for unity: we believe that a united world is a more prosperous world, and we are dedicated to consistently advocating for equal opportunities for all. And the foundation for this is our inclusive workplace, where people and performance both matters, and nurtures a culture grounded in integrity, fairness, inclusion and trust. 

 

We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, social class, disability or sexual orientation, or any other characteristics protected under applicable local laws and regulations. 

 

Join us. Let's care for tomorrow. 

 

People with disabilities: 
We want to give all our candidates the best opportunity to succeed.  If you need any adjustments to be made during the application and selection process, please email agcsglobalcareers@allianz.com

 

Recruitment Agencies:  
Allianz Commercial has an in-house recruitment team, which focuses on sourcing great candidates directly.  Allianz Commercial does not accept unsolicited resumes from agency or search firm recruiters.  Fees will not be paid in the event a candidate submitted by a recruiter without an agreement in place is hired.  When we do use agencies, we have a PSL in place, so please do not contact managers directly.  Failure to comply could/may result in the disqualification of the candidates and/or the termination of our contract and/or fees not being paid.

 

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