Bucharest, Bucuresti, Romania
Live, first seen by us 51 days agoEmployment type in the employer’s posting: PermanentFrom the employer’s posting
Develop and maintain data pipelines in the Spark-based data platform
Design and implement solutions combining internal and external data for pricing
Optimise fuzzy merge processes to release value from data
Work with data engineers, pricing actuaries and predictive modellers on data solutions
Act as the data processing and coding expert for the wider Pricing team
Develop and maintain data pipelines within our Spark-based data platform
Drive the design and implementation of solutions that contribute to Global Pricings data-driven pricing approach using internal and external data
optimising fuzzy merge processes to release the intrinsic value of data
Collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing
Act as an expert to support the wider Pricing team on data processing and coding best practices
Experience in data pipeline/ETL (Extract Transform Load) development, cleaning and bringing together multiple sources into a single production warehouse
Ability to communicate and work effectively with technical and non-technical team members
Experience in analysing, debugging and solving highly complex problems
Experience taking ownership of own learning and development
Knowledge of Engineering principles such as automated testing, code abstraction, and performance optimization
Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams
Significant experience in SQL and strong experience using PySpark to build data pipelines 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 Experience in data pipeline/ETL (Extract Transform Load) development, cleaning and bringing together multiple sources into a single production warehouse
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 51
Similar jobs usually come down between day 6 and day 56.
Well past Allianz Insurance’s usual: its jobs come down by about day 3.
From 13,630 similar postings that came down, and 421 of Allianz Insurance’s. Coming down is not always a hire.
65 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
What you bring Minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally within an insurance environment Minimum 3 years’ experience using Databricks
Minimum 3 years’ experience using Databricks Significant experience in SQL and strong experience using PySpark to build data pipelines 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
Minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally within an insurance environment Minimum 3 years’ experience using Databricks Significant experience in SQL and strong experience using PySpark to build data pipelines
Some of your specific responsibilities could include: Develop and maintain data pipelines within our Spark-based data platform to enhance the capabilities of the Pricing function 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
Complete your application on career5.successfactors.eu. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 7% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
130 years of trust. One team shaping what's next. Allianz Group is one of the world's leading insurers and asset managers - built on over a century of stability, expertise, and financial strength. Allianz Services is where that legacy meets the future. 8,500+ people. Twelve countries. Four continents. We deliver specialized services to clients within Allianz Group, powered by AI, advanced analytics, and a mindset that refuses to stand still. From core insurance operations to engineering and consulting services, we reimagine how insurance works. What truly sets us apart are our people and the trusted partnerships we build, anchored in our values of expertise, integrity, and empowerment. We don't support the business. We shape it.
Job role
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.
What you will do
Some of your specific responsibilities could include:
Develop and maintain data pipelines within our Spark-based data platform to enhance the capabilities of the Pricing function
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
Collaborate with Data Engineers, Pricing Actuaries and Predictive Modellers to deliver innovative data solutions for data-driven pricing
Develop knowledge of the company’s IT landscape, data and data systems
Implement solutions that adhere to the Data Engineering teams’ best practices for continuous improvement and participate in code reviews
Act as an expert to support the wider Pricing team on data processing and coding best practices
Contribute to a culture of results-driven collaboration, support and respect
Support the development of reporting dashboard and application development where necessary
What you bring
Minimum 8 years’ experience using SQL and/or PySpark for data-focused solutions, ideally within an insurance environment
Minimum 3 years’ experience using Databricks
Significant experience in SQL and strong experience using PySpark to build data pipelines
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
Experience in data pipeline/ETL (Extract Transform Load) development, cleaning and bringing together multiple sources into a single production warehouse
Experience in analysing, debugging and solving highly complex problems
Experience taking ownership of own learning and development
Knowledge of Engineering principles such as automated testing, code abstraction, and performance optimization
Knowledge of P&C insurance, ideally with some experience of working alongside Pricing teams
We highly welcome candidates with a genuine interest and affinity for Information Technology (IT) and Generative Artificial Intelligence (GenAI), as these attributes are considered valuable assets to our team.
You have
Independent and self-directed individuals that thrive when faced with challenge
Ability to communicate and work effectively with technical and non-technical team members
Desire and ability to learn the business and become an expert in the industry
Organised, self-motivated, results-oriented, and very resourceful
Relishes problem solving, analysis and getting hands on digging into data issues
Fluent English skills, any other languages advantageous
What we offer
We support your well-being
We invest in your growth
Take advantage of an extensive learning curriculum tailored to support your career growth and meet your professional needs, with access to a wide range of technical and soft skills trainings, international certifications (including Agile, Lean Six Sigma, PRINCE2, ITIL, IFOA, ACCA, IACCM, and more), learning resources from LinkedIn and Allianz platforms, language development opportunities (German, French, English), and our dedicated Leadership Program to help you reach the next level.
We value you and your work
We acknowledge and recognize your work through performance-based rewards to celebrate your achievements, team, and individual recognition programs to celebrate your contributions and internal referral bonuses.
Your personal information, including sensitive data, may be shared with Hiring Managers to evaluate your suitability for the role. Only candidates who meet the criteria will be contacted, and all applications will be treated with strict confidentiality.
Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges is what makes us a unique employer.
We are united by a shared commitment: to put our customers first and at the center of everything we do. Their needs inspire our thinking and guide our actions.
Together, we can build an environment where everyone feels empowered and confident to explore, grow and shape a better future – for our customers and for the world around us. 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. The foundation for this is our inclusive workplace, where people and performance both matter, and where integrity, fairness, inclusion and trust are at the heart of our culture.
We therefore welcome applications regardless of ethnicity or cultural Internal 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.
#LI-EL1
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bucharest, Bucuresti, Romania
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.