Join us to make education accessible for all!

Strengthen our Data & Analytics Team in full-time (40 hrs./week) as (Senior) Analytics Engineer (m/f/d) within Germany or UK remotely or at one of our office locations.

This role focuses on transforming raw data into structured, validated models that empower data-driven decisions across the organization. The ideal candidate has strong technical skills in data modelling, data warehousing, and BI, coupled with a deep curiosity for understanding the drivers behind business metrics.

YOUR ROLE

• Data Modelling and Transformation: Design, build, and optimize data models to support reporting, analysis, and visualization. Utilize dbt to ensure efficient and reliable transformation of raw data into clean, tested, well-documented, organized models that serve as the foundation for BI and analytics.

• Collaboration with Engineering and Analytics Teams: Partner closely with data engineers, software engineers, data analysts, and product teams to understand business requirements, ensuring that data models and transformations meet analytic and operational needs.

• Data Quality and Validation: Establish rigorous data quality standards, conducting testing and validation to ensure data integrity across reporting and analytics systems. Work with source systems to enhance upstream data quality.

• KPI and Metric Development: Collaborate with stakeholders to define, track, and refine business KPIs and metrics, ensuring alignment with business objectives. Support leadership and operational teams with consistent, high-quality insights.

• Data Reporting: Work with data analysts who build dashboards and reports in PowerBI, and collaborate on creating a single, well-structured semantic layer for reporting and self-serve analytics.

• Documentation and Training: Maintain comprehensive documentation for data models and transformation processes. Provide training to ensure knowledge transfer within the team and to help stakeholders utilize data effectively.

Your Profile

• You bring 3+ years of experience in analytics engineering, data engineering, or BI engineering within a data-centric environment.

• Excellent SQL skills.

• Deep knowledge of data modelling, dbt knowledge is preferable but not necessarily required if you have strong fundamentals.

• Good knowledge of cloud-based MPP data warehousing (e.g. BigQuery, Snowflake, Redshift)

• Strong grasp of developing in a command line interface. Experience using Docker a bonus.

• Growth mindset with eagerness to learn, proactive pursuit of results, drive for meaningful impact, and strong communication skills paired with solid business acumen.

What We Offer

• Be you at IU: We support and empower you to achieve your personal and professional goals. After all, your happiness significantly contributes to a positive and productive environment.

• Work wherever you want...: Our digital DNA makes remote work the standard. Whether from home or up to six months a year from abroad - you decide where you are most productive.

• ... and flexible in terms of time: It's your job; We trust you and give you the greatest possible freedom to organize yourself.

• Take your knowledge to a new level: Where else, if not with us? Enjoy free access to all our e-learning platforms. In addition, we will finance you a complete technology course of your choice.

• Make your journey sustainable: Whether it's a DeutschlandTicket subsidized down to less than 9 euros or a Jobrad (bike leasing) offer, enjoy the freedom of mobility for both work and personal activities, while also making an eco-friendly choice.

• 33 days to rest: Taking breaks is important! In addition to 30 flexible vacation days per year, we also give you an extra day off on your birthday, as well as days off on Christmas Eve and New Year's Eve.

Who are we? IU International University of Applied Science (IU) is Germany's largest university of applied science – and we are not just an excellent choice for studying, but also an outstanding Great Place to Work®! As an Edutech company, we rely on state-of-the-art technology and data-driven approaches. That's why AI-driven voice assistants and generative AI systems have long become part of our daily work routine, helping us to focus on exciting projects. Here at IU over 4,000 employees are dedicated to making a difference.

Become part of our Engineering team! We're passionate, competitive, open to all things new - and we love data. We live to code anything that makes IU students and IU services better.

Sounds like the perfect job for you? Then apply now! Simple, fast and even without a cover letter. If you have any further questions, please feel free to contact kata.jarosz@iu.org.

Please note that all applications must be submitted through our online form; applications via email cannot be considered.

Words are followed by actions: We take our “Culture Of Everyone” very seriously and would like to take this opportunity to expressly point out that you are welcome to join us, regardless of your origin, religion, gender, age or sexual orientation. Even if you have a disability, our doors are wide open to you. We look forward to a diverse community here at IU!