Senior Data Engineer

MIMACOM AG; Bern; Hybrid; CHF 120.000 - 190.000; Vollzeit

Benefits dieser Stelle

Career growth

Flextime & Hybrid workspace

Company culture

Vacation 25 days

OS choice

Communication allowance

Zusammenfassung

MIMACOM AG seeks a data engineering lead to drive new customer acquisition and strategic expansion in Switzerland’s insurance and financial services sector. You’ll design architectures, build real-time pipelines with Apache Kafka, and migrate analytics to the cloud, while guiding PoCs and trainings on-site.

You will collaborate with account, consulting, engineering and delivery teams to create compelling client solutions and lead proposals and tenders.

Qualifikationen

• 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 and event-driven architectures.

Aufgaben

• Analysis & Architecture: conduct requirements analysis and design architectures based on Data Vault, Hub-and-Spoke, Lambda, and Kappa.
• Streaming & Event-Driven Data: design, build, and operate real-time data pipelines using Kafka and related tooling.
• Migration: oversee migration of data analytics solutions to the cloud.
• Hands-on Engineering: implement, optimize, and operate data platforms.
• Consulting: advise clients on data processing, cloud, and DevOps topics; conduct PoCs, trainings, and workshops on-site

Kenntnisse

Python

Pandas

SQL

Relational databases

Apache Spark

Git

Data governance

Data platforms

Ausbildung

Degree in Computer Science, Mathematics, Statistics, Information Systems, or related field

Tools

Apache Kafka

Azure Synapse

Azure Data Factory

AWS Redshift

Databricks

Azure DevOps

Kafka Connect

Jobbeschreibung

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- & 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.
• Consulting: Advise our clients on data processing, cloud, and DevOps topics, and conduct PoCs, trainings, and workshops on-site

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