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Senior Analytics Engineer


Published: Mon, 16 Jun 2025 12:51:37 GMT

Position: Senior Analytics Engineer

Location: Vienna, Austria (with possibility for remote work within Austria or Germany)

Company Overview:

Meister is a well-funded and ambitious company that is driving innovation and delivering value to its users. We are seeking a Senior Analytics Engineer (f/m/d) to join our data team and play a pivotal role in building our next-generation data platform. This is an exciting opportunity for someone who is passionate about translating complex business requirements into reliable, scalable, and insightful data products.

Your Responsibilities:

As a Senior Analytics Engineer at Meister, you will be responsible for:

– Translating complex business needs into scalable data products that directly address stakeholder requirements and drive meaningful impact
– Writing clean, efficient, and DRY SQL code to handle large-scale datasets across multiple sources
– Applying industry standards and best practices to design scalable data models using tools like dbt
– Designing and scaling cloud-based warehouses or data lakes, focusing on reliability, maintainability, and long-term growth
– Proactively driving initiatives to maintain data quality through measures such as lineage, testing, documentation, and outlier detection
– Working directly with business stakeholders and other data team members to gather requirements, understand data challenges, and suggest ways to leverage data more effectively
– Optimizing data for BI tools and designing with the end-user experience in mind
– Staying ahead of the curve in AI and data technology and actively identifying opportunities to enhance our data platform and streamline data processes

What Makes You Special:

To be successful in this role, you should have:

– 4+ years of experience in the data space as an Analyst, Engineer, or Scientist
– Proven track record of translating complex business needs into scalable data products
– Expertise in SQL and experience with scalable SQL design and performance optimization
– Familiarity with data transformation tools like dbt and experience with Python for custom transformations and automation
– Experience designing and scaling cloud-based warehouses or data lakes, preferably with Snowflake, BigQuery, or Redshift
– Strong understanding of data quality measures and experience driving initiatives to maintain data quality
– Ability to work directly with business stakeholders and other data team members to gather requirements and suggest ways to leverage data more effectively
– Experience optimizing data for BI tools and designing with the end-user experience in mind
– Proactive and forward-thinking mindset, constantly exploring and adopting innovative tools and methodologies

Why Work at Meister:

– Competitive salary based on skills and experience
– Employee stock ownership program
– Clear career paths with experienced mentors
– Dedicated learning budget for personal and professional growth
– Opportunities to attend industry meetups and participate in exciting events
– Flexibility to work in Vienna and/or remotely in Austria or Germany
– Flexible workation policy for remote work from anywhere
– Autonomy in choosing your own hardware and work schedule
– Commuter benefits and subsidized wellness activities
– Extra vacation day on your birthday and during holidays
– Regular company events and retreats

If you are passionate about data and want to be a part of a dynamic and innovative team, then we want to hear from you! Apply now to join our team at Meister.
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