Allianz

4 weeks ago

Senior Data Engineer (Databricks)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Senior Data Engineer responsible for developing and maintaining Spark-based data pipelines to support pricing data, collaborating with pricing actuaries and engineers, and driving data-driven solutions in Allianz's pricing function.

Location: Bucharest

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceMeal TicketsPrivate PensionLife InsuranceCounseling ServicesLearning Budget

Key Requirements

•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.
•Experience in data pipeline/ETL development, cleaning and bringing together multiple sources into a single production warehouse.

Experience:8+ yearsInsurancePricingData engineering

Education:Bachelor's

Skills:PySparkSQLDatabricksPythonJavaC#SparkETLData pipelinesData visualization

Languages:English

Tech Stack:PythonPySparkDatabricksSQLSpark

Company Brief

Allianz

Global insurance and financial services group offering property-casualty insurance, life and health insurance, asset management, and corporate risk solutions to individuals, businesses, and institutions across more than 70 countries.

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn

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Allianz

4 weeks ago

Senior Data Engineer (Databricks)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 15 hours agoStatus: Live

Job Summary

Location: Bucharest

Workplace: Onsite

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Manager level

Key Responsibilities

•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.

Pay and Benefits

Perks:Health InsuranceMeal TicketsPrivate PensionLife InsuranceCounseling ServicesLearning Budget

Key Requirements

•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.
•Experience in data pipeline/ETL development, cleaning and bringing together multiple sources into a single production warehouse.

Experience:8+ yearsInsurancePricingData engineering

Education:Bachelor's

Skills:PySparkSQLDatabricksPythonJavaC#SparkETLData pipelinesData visualization

Languages:English

Tech Stack:PythonPySparkDatabricksSQLSpark

Company Brief

Allianz

Industry: Insurance

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Munich, Germany

Founded: 1890

Website LinkedIn