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Analytics Engineer

UNIQA Re AG
Zürich, ZH

Soumettre votre candidature

Détails de l'emploi

100%

Qualifications

CI/CD
Gestion du personnel
Anglais
SQL
Python
Allemand

Description complète du poste

Confidential

Analytics Engineer
(100%; m/f/d)

UNIQA Re is a licensed reinsurer based in Zurich with focus on business activities on UNIQA
insurance companies and contributes to effective risk and capital management within the Group.
Starting in 2023, UNIQA Re has been underwriting also a growing portfolio of reinsurance clients
outside of the UNIQA Group.

UNIQA Re is enhancing its data landscape to support our continued growth and the expansion of
our non-group reinsurance portfolio. We are looking for a highly hands-on Analytics Engineer with
strong data engineering capabilities, deep technical ownership, and the ability to design production-
ready data foundations in a regulated reinsurance environment.

This is not a pure reporting role: you will take ownership of end-to-end data products, from ingestion
and transformation to modelling, validation, documentation, monitoring, and reliable business
consumption.

What to expect

Data Architecture & Modelling

Design the target data architecture and data models for our Azure Databricks Lakehouse –

from raw ingestion layers to curated, business-ready data products (medallion architecture,
dimensional models, semantic layers)

Translate complex reinsurance logic – contracts, premiums, claims, technical accounting –

into scalable, reusable, and well-documented data models that serve reporting, analytics, and
regulatory use cases alike

Think beyond the individual use case: establish standards, patterns, and reusable

frameworks that allow the platform to grow with the business

Data Engineering

Build, operate, and continuously improve production-grade ELT pipelines on Azure

Databricks (Delta Lake, Databricks Workflows) for treaty, facultative, claims, exposure, and
financial data

Define and enforce data quality rules, validation and reconciliation logic, logging, and

monitoring, so that business-critical data stays accurate, auditable, and reliable

Integration & Automation

Own the integration of data from internal systems and from external cedents, brokers, and

data providers – bordereaux files, SFTP, APIs, and market data feeds

Automate batch and incremental ingestion with version-controlled, tested, and reusable code

(CI/CD)

Confidential

Work closely with IT, architecture, and security teams to keep integrations secure, resilient,

and aligned with enterprise standards

Data Governance & Compliance

Maintain data lineage, metadata, cataloguing, and documentation for key data assets (e.g.

Unity Catalog)

Ensure data solutions meet governance, data protection, and regulatory requirements, and

support audit readiness through transparent, reproducible data flows

Collaboration & Stakeholder Management

Act as a technical sparring partner for actuarial, underwriting, finance, risk, and IT teams, and

translate business requirements into sustainable data solutions

Enable analytics use cases such as pricing support, exposure modelling, portfolio monitoring,

claims analytics, and management reporting

We expect

Technical Skills
• Expert-level SQL and strong Python, written to production standards: modular design, testing,

error handling, and performance

Hands-on experience with Databricks and the Azure data stack (Delta Lake, Unity Catalog,

Databricks Workflows) – or deep experience on a comparable Lakehouse platform and the
drive to master ours quickly

Strong data modelling expertise – dimensional modelling, semantic layers, historization and

slowly changing dimensions – and the ability to design models that scale beyond the first use
case

Solid understanding of orchestration, CI/CD, and observability, as well as APIs, file-based

integrations, schema evolution, and structured and semi-structured data

Business Knowledge

Experience with data from insurance, reinsurance, or another regulated, finance-driven

industry – you know what reconciliation, auditability, and reporting deadlines mean in practice

Genuine interest in reinsurance: you do not need to know treaties, bordereaux, and claims

triangles on day one, but you want to learn them – and you can show that you have mastered
complex business domains before

Existing reinsurance knowledge (treaty and facultative business, technical accounting, IFRS

17 / Solvency II) is a strong plus – not a prerequisite

Soft Skills

Analytical precision and a strong sense of ownership – you challenge data, assumptions, and

business logic constructively

Ability to explain complex technical concepts and architectural decisions clearly to technical

and non-technical stakeholders

Proactive, structured, and self-driven from analysis to implementation – you are comfortable

setting direction rather than waiting for it, and you document what you build

Business-fluent English; German is an asset

We offer

A true greenfield mandate: as our first Analytics Engineer, you build the data platform of a

growing reinsurer from the ground up

Modern tech stack on Azure Databricks, short decision paths, and direct access to

underwriting, actuarial, and management

Confidential

Competitive compensation and benefits

Professional growth and development opportunities

Modern office in the heart of Zurich

Ready to join our dedicated team? We look forward to receiving your application electronically via
[email protected].

If you have any questions about this opportunity, David Imhof, Head of Business Operations
([email protected]) will be happy to provide you further information. More information about
UNIQA Re can be found at www.uniqare.ch.

UNIQA Re AG, Alfred-Escher-Strasse 50, CH-8002 Zurich

Soumettre votre candidature

Affinez votre recherche

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Engineering Underwriter (Hybrid;m/f/x/d;80-100%), Zurich (Zurich, CH)

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