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Senior Data Engineer

mimacom -
Berne, BE

Soumettre votre candidature

Détails de l'emploi

100% | Temps de travail : 90-100%
Il y a 2 heures

Avantages

Événements de team building

Qualifications

Relational databases
Spark
Git
Bases de données
SQL
AWS
Développement logiciel
MacOS
Python

Description complète du poste

Bern, Zurich
Full time

What We’re About

In this role, you are responsible for new customer acquisition and the strategic expansion of existing client relationships within the insurance and financial services sector in Switzerland. You develop tailored sales and account strategies, systematically build a resilient sales pipeline, and proactively approach both new and existing clients. At the core of the role is advising insurance companies on digital transformation initiatives – ranging from software development to cloud, data & analytics, AI, and technology consulting. You work closely with account, consulting, engineering, and delivery teams as well as management to develop compelling client solutions and successful proposal and tender processes. You identify and realize cross- and upselling potential, positioning us as a strategic partner for digital innovation in the insurance sector.

What You’ll Do

Analysis & Architecture: Conduct requirements analysis and design architectures, including data architectures based on Data Vault, Hub-and-Spoke, Lambda, and Kappa.
Streaming & Event-Driven Data: Design, build, and operate real-time data pipelines and event-driven architectures on Apache Kafka, including topic design, Kafka Connect, and stream processing.
Migration: Take ownership of and oversee the migration of existing data analytics solutions to the cloud.
Hands-on Engineering: Responsible for the implementation, optimization, and operation of data platforms.

What You’ll Bring

Degree in Computer Science, Mathematics, Statistics, Information Systems, or a related field
Several years of hands-on experience in software development or data engineering
Solid knowledge of Python, relational databases, Pandas, Apache Spark, Git, and SQL
Strong, hands-on expertise in Apache Kafka: real-time data engineering, building and operating Kafka-based data pipelines and event-driven architectures
Understanding of data governance, data catalogs, and data quality
Experience with data platforms, data services, and data architectures
Experience designing data solutions on Azure, AWS, or other cloud providers (e.g., Azure Synapse, Azure Data Factory, AWS Redshift, Databricks, as well as Azure DevOps)

What Awaits You

As a part of our team, you'll enjoy a variety of benefits tailored to meet your needs and help you thrive both personally and professionally. Here's what you can expect when joining our team:

Career Growth & Training: personal development, career paths, workshops, conferences, innovation projects, certifications & more!
Flextime and Hybrid Workspace
Company culture: Jdirect communication & feedback culture, annual salary reviews, high quality focus, cool team events (“Thirsty Thursday”, Hackathons, team building, etc.)
Further Benefits: 25 days of vacation per year (up to 30 depending on length of time with the company), choose your own OS (MacOS or Windows), monthly communication allowance of 50CHF

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devops engineer cloud engineering emplois

Senior Data Engineer

Senior Data Architect — Snowflake & AI

Enterprise Account Executive, Switzerland (English & German Speaker)

Director, Platform and Integration Lead

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