Analytics Engineer

Aiven is a hypergrowth Platform-as-a-Service company offering the best in open source and data technologies on multiple cloud platforms.

Headquartered in Helsinki with hubs in Berlin, Boston, Paris, Sydney, Singapore, Tokyo and Toronto, Aiven provides managed open source data technologies, such as PostgreSQL, Apache Kafka and M3, on all major clouds.

In 2022, we raised Series D funding of $210M to fuel our global expansion, the comprehensiveness of our platform and to focus on new programs in sustainability and diversity in tech.

Open source is at our core. We compensate our employees who contribute to open source outside of their daily work with Aiven and we have set up an Open Source Program Office (OSPO), to actively focus on giving back to the open source community.

Aiven’s mission is to enable customers to drive business results from open source, transforming their businesses. We love to operate our favorite tools at scale and empower our customers, in over 60 countries, to do great work.

We live by our values of courage, openness and ownership every day, and continually strive to ensure that every Aivener is empowered to contribute creatively and meaningfully, in a work environment where they have the tools to succeed and the comfort and support to be themselves.

Analytics Engineer

We are looking for a Analytics Engineer to join our analytics team and support our fast growing data platform. We have more and more people in the company using our data models and we need help in providing easy to use and clean data models for them. You’ll be working at the intersection of analytics and engineering, working with data engineers to get the right raw data in and working with analysts to provide them with the best data models possible.You’re a more technical data analyst and more business oriented data engineer.

We’ve got a so-called Modern Data Stack with BigQuery, dbt and Airflow at the center, all hosted in Google Cloud Platform. Our business intelligence tool is Sisense at the moment. We use tools like Stitch & Supermetrics to extract data from our source systems and Census to push data back to for example Salesforce & Google Ads. Besides that, our machine learning runs on MLFlow & Feast and we’re using Monte Carlo as a data observability solution.

As an analytics engineer your main focus will be to enable others in Aiven to do analytics. We want our colleagues to be able to solve 80% of their data questions by themselves. This requires high quality datasets that are easy to understand and use.

Position is remote, or based in one of our European offices.

Requirements

• Analytical and detail-oriented
• Excellent communicator
• Experience in spreading data literacy through an organization
• Advanced SQL skills
• Experience in developing and refactoring data models
• Growth mindset
• Fluent verbal and written English skills

You will:

• Build trust in our data by working closely together with stakeholders
• Own data quality, metrics, and business logic for our core data models
• Give data literacy trainings and mentor people with a desire to learn SQL
• Work together with analysts to define data models for them to use
• Adjust our data models based on usage patterns
• Help define data domains to keep our data models manageable
• Move business logic from our business intelligence tool to our data warehouse in order to reuse logic and improve maintainability

Nice to have:

• Skilled in using dbt
• Experience in Python
• Experience in working with business intelligence tools like Sisense/Tableau/PowerBI/Looker
• Experience working in a high-growth environment
• Understanding of data orchestration tools like Airflow, Luigi, Prefect, or similar

Benefits

We are proud of our supportive and pragmatic organizational culture. We are solution-oriented, and at the same time we cultivate an environment of trust and diversity where everyone can strive for excellence.

Besides our people and culture, at Aiven you'll have;

• A dynamic environment in a rapidly growing, international business
• Highly experienced colleagues from a variety of backgrounds
• Flexible working hours, including remote working when needed
• Ability to choose the devices and tools that make you work the best
• Mobile phone and subscription

You will be part of a highly-skilled, tight-knit and growing team, making your contribution essential to what is becoming a truly unique success story. If you're interested, send us your application and we'll take it from there.