Senior Data Engineer (m/f/d)

Xempus AG; Snowflake (AZ); Hybrid; USD 80,000 - 120,000; Full time

Job summary

An innovative and forward-thinking company is seeking a Senior Data Engineer to design and implement scalable data infrastructure. This role involves collaborating with data scientists and product teams to create impactful solutions, ensuring data quality, and optimizing data processes. Join a dynamic team that values creativity and quick decision-making, and enjoy the benefits of hybrid working, generous employee stock options, and a supportive work environment. If you are passionate about data engineering and ready to make a difference, this opportunity is perfect for you!

Benefits

Employee stock option program

Company pension scheme contribution

Corporate health insurance reimbursement

Training budget and free courses

Bike leasing

EGYMWellpass

Free drinks and fruit

Extra unpaid holiday option

Team events and charity activities

Flexible working options

Qualifications

• 7+ years of experience in software engineering and 5+ years in data engineering.
• Proven experience with big data technologies and cloud platforms.
• Strong knowledge of SQL and experience with relational databases.

Responsibilities

• Architect and implement scalable data infrastructure solutions.
• Develop and maintain ETL/ELT pipelines for large datasets.
• Ensure data quality, integrity, and consistency across the infrastructure.

Skills

Data Engineering

Software Engineering

Cloud Technologies

Big Data Frameworks

SQL

Problem-Solving

Communication

Education

Bachelor’s or Master’s in Computer Science

Tools

Apache Spark

Apache Iceberg

Snowflake

Databricks

AWS

Azure

GCP

Apache Airflow

Docker

Kubernetes

Job description

Who we are

We are Xempus, Germany's leading independent Software-as-a-Service (SaaS) platform for managing and distributing pension, life, and health insurance. Our mission is to make these insurances digital, understandable, efficient, and accessible for everyone. Since 2007, we have been driving the digitalization of the insurance industry. At Xempus, we believe in making a difference together—whether from our offices or from home. Join us to create a more secure future for everyone!

The role

We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. You will be responsible for designing and implementing scalable data infrastructure with efficient data pipelines. Collaborating closely with data scientists, analytics, and product teams, you will ensure the creation of impactful solutions. This role requires a deep understanding of software and data engineering principles, cloud technologies, and big data frameworks.

Key Responsibilities:

• Architect and implement scalable data infrastructure solutions using modern tools, services, and cloud environments.
• Develop and maintain ETL/ELT pipelines to ingest, process, and transform large datasets from various sources.
• Ensure data quality, integrity, and consistency across the data infrastructure.
• Work closely with data scientists, analysts, and business stakeholders to understand data requirements and deliver solutions that meet their needs.
• Collaborate with DevOps and IT teams to ensure seamless integration and deployment of data solutions.
• Optimize data storage and retrieval processes for high performance and low latency.
• Implement best practices for data governance, security, and compliance.
• Perform regular maintenance and updates to keep the data infrastructure current with latest technologies and standards.
• Monitor and troubleshoot data pipelines and infrastructure to ensure reliability and availability.

What we are looking for

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 7+ years of experience in software engineering and 5+ years in data engineering, focusing on building and managing data lakehouse or data warehouse solutions.
• Proven experience with big data technologies (e.g., Apache Spark, Apache Iceberg, Snowflake, Databricks) and cloud platforms (AWS, Azure, GCP).
• Proficiency in programming languages such as Java/Kotlin, Python, or Scala.
• Strong knowledge of SQL and experience with relational databases.
• Experience with data modeling, ETL/ELT processes, and data pipeline orchestration tools (e.g., Apache Airflow).
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills.
• Ability to work independently and as part of a team in a fast-paced environment.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Kinesis).
• Knowledge of machine learning and data science workflows.
• Familiarity with advanced feature management tools.
• Knowledge of MLOps practices and tools such as Docker, Kubernetes, and MLflow.
• Familiarity with data governance and compliance frameworks (e.g., GDPR, CCPA).

Why Xempus

• Join one of the leading insurtechs in Europe as it enters its next growth phase.
• Enjoy creative freedom and quick decision-making in a dynamic, innovative environment.
• Participate in one of the most generous employee stock option programs in the industry.
• Benefit from an attractive contribution to the company pension scheme.
• Access corporate health insurance (600€ reimbursement annually for medical and pharmacy costs).
• Work with a team of amazing colleagues with a great team spirit (company parties, charity events, etc.).
• Have the option of hybrid working for family friendliness and maximum flexibility. More info here.
• Benefit from personal and professional development opportunities, including an annual training budget, free courses, and a transparent career model.
• Enjoy various health offerings such as bike leasing and EGYMWellpass.
• Work in modern offices in a central location with free drinks and fruit.
• Option for an unpaid extra holiday in addition to your 30-day annual leave.

Contact

Does that sound like your kind of job? Apply now! If you have questions or need assistance with the application process, contact Marta Von Deimling at [e-mail].

We look forward to hearing from you!