Analytics Engineer (mfd)

Your mission as an Analytics Engineer

We are looking for an Analytics Engineer (m/f/d) with strong data engineering skills to join our Data team and help build a scalable reliable and well-structured data foundation across Appinio.
In this role you will design and maintain clean scalable data models that make data easy to access understand and use across the organisation. You will use SQL dbt and Python to transform raw data into meaningful datasets develop automated workflows and ensure consistency and reliability across our data warehouse.
Beyond data modelling you will contribute to building maintaining and optimising data pipelines and integrations. You will work with APIs databases and third-party data sources to ensure reliable data ingestion troubleshoot pipeline issues and improve the overall stability and performance of our data infrastructure.
Working closely with Analytics Product Engineering and business teams you will help define and standardise key business metrics such as revenue bookings and churn ensuring a single source of truth across the company. You will also take ownership of data quality through automated testing validation and monitoring across the data lifecycle.
You will explore and leverage AI-powered tools to improve development workflows automate repetitive tasks and enhance data engineering and analytics processes. You will also help prepare our data foundation for AI-driven analytics by ensuring that data models business definitions and documentation are structured consistent and accessible.
You will contribute to documentation performance optimisation and the continuous improvement of our data stack helping us build a robust and scalable data platform that enables teams across Appinio to make faster more informed decisions.

What youll be doing

• Data Modeling: Design build and maintain clean scalable data models in the data warehouse using SQL and dbt making data accessible and reliable for analysts and business users.
• Data Transformation: Develop and maintain data transformation workflows turning raw data from multiple sources into structured analytics-ready datasets.
• Data Pipelines & Integration: Build maintain and troubleshoot data pipelines and integrations ensuring reliable data ingestion from APIs databases and third-party systems into the data warehouse.
• Data Quality & Testing: Ensure data accuracy and reliability by implementing automated tests validations monitoring and proactive issue resolution across data pipelines and models.
• Documentation: Document data models pipelines business definitions and transformation logic to ensure transparency maintainability and knowledge sharing.
• Business Logic Ownership: Define implement and standardize key business metrics (e.g. revenue bookings churn) to ensure consistency across reporting and analytics.
• Collaboration: Work closely with analysts business stakeholders and engineering teams to understand data requirements and deliver reliable scalable data solutions.
• Performance & Infrastructure Optimization: Optimize SQL queries dbt models and data pipelines for performance scalability and efficient use of data warehouse resources.

You will thrive in this role if

• Strong SQL & Data Modeling Skills: You have excellent SQL skills and hands-on experience designing building and maintaining scalable data models in a modern data warehouse.
• Experience with dbt: You have practical experience using dbt to develop test document and maintain reliable data transformation workflows.
• Data Engineering & Python: You are proficient in Python and have experience building maintaining and troubleshooting data pipelines including integrations with APIs databases and third-party systems.
• Data Warehousing Knowledge: You understand modern data warehouse architectures and have experience working with cloud-based solutions such as Amazon Redshift Snowflake or BigQuery.
• Data Quality & Reliability: You have a strong understanding of data quality principles automated testing validation and monitoring with a proactive approach to identifying and resolving issues.
• Business Understanding: You can translate business requirements into reliable data models and clearly defined metrics balancing technical quality with practical business needs.
• Problem-Solving & Ownership: You are analytical detail-oriented and comfortable taking ownership of technical challenges investigating root causes and developing sustainable solutions.
• Collaboration & Communication: You communicate technical concepts clearly work effectively with both technical and non-technical stakeholders and enjoy collaborating across teams.
• AI & Automation Mindset: You are curious about AI-powered development tools and actively explore opportunities to automate repetitive tasks improve workflows and increase productivity.

Whats in it for you

• Flexibility Policy - Average is 30 days taken however we do not have a hard cap of number of vacation days as we know life happens
• Temporary work from abroad - If youre based in the EU you can work outside your country of residence for up to 180 days per year
• All the hardware you need andyour own MacBook
• If you are located in Hamburg or Berlin youll get aDeutschland ticket or access to a mobility budget with theNAVIT app to get you to and from the office space
• Subsidised Urban Sports Club or ClassPass membership based on location
• In case youre located in one of the cities where most of our fellow Appinioneers are (Hamburg Berlin Munich London Madrid Barcelona or New York) you can get access to ourCo-working spaces

Additional role details

• This is afully remote positionopen to candidates based in Germany the UK Portugal the Netherlands and Spain
• This role will report directly to our Team Lead Business Intelligence

Our interview process

• Screening Call with the Talent Acquisition team
• Hiring Manager interview
• Case Study
• Executive Interview
• References