Our vision is to become the trusted open source data platform for everyone. We are a Cast of over 400 individuals (‘Crabs’) located across the globe. Why Crabs? Because we believe in thinking sideways. And right now, we’re looking for sideways-thinking Senior Data Engineer.

We want to be the trusted data source data platform for everyone. But there are plenty of people out there who have not yet heard of us. And many of those who don’t yet know what we offer or what we stand for. We are always on the lookout for those who have the creative, research, analytical and strategic skills to succeed. Currently, we are looking for a Senior Data Engineer.

Who we are

So, how do we become the trusted open source data platform for everyone? By listening closely to our customers and taking action to ensure they achieve their business goals. You see, the software we create is merely a means of delivering value. Our thinking is customer-first. That’s why our customers are at the front and center of all we do. And in the spirit of sideways thinking, we’re by their side as well. Actively helping them solve their challenges. Collaborating. Sharing. And innovating. In other words, it really isn’t just about who we are. It’s about who our customers are – and where they want to be.

Our values

We want individuals who can embody our values of ownership, courage, and openness.

What does that mean in practice?

We take ownership of the problems we solve. What we do is about improving life for our customers, enabling them to meet their goals. So we own our decisions and mistakes. Sometimes that takes courage. But we don’t falter – we take on challenges with confidence. And right at our heart is openness. We’re always open to new ideas – from wherever and whoever they come.

The role

We are looking for a Senior Data Engineer to join our central 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 to ensure our data is of the highest quality and governed efficiently. You’ll be working closely with analytics engineers and data analysts, while working with our data producers, such as software engineers.

You’re a business savvy data engineer and you care about the business value your solutions deliver.

We’ve got a modern data stack with BigQuery, dbt and Airflow at the center, all hosted in Google Cloud Platform. We use Preset for reporting and Posthog for product analytics. Our extractions are done using Stitch, Supermetrics, Kafka, Flink, Snowplow and custom Docker images in Airflow. Besides that we also send data back to tools like Salesforce, Google Ads and Slack all using Hightouch as our reverse ETL tool. Lastly we use Monte Carlo for data observability.

Overall our platform has been running with exceptional stability, we try to make our platform as low maintenance as possible and need your help in keeping it that way.

Responsibilities

• Prioritize high-quality data extraction with robust ingestion pipelines, ensuring accuracy and completeness
• Design and implement efficient data orchestration workflows using tools like Airflow, with Docker for container environments
• Develop secure access management policies
• Manage cloud infrastructure on GCP and the Aiven platform by using Terraform
• Lead data engineering initiatives that deliver tangible business value, ensuring the solutions deployed are effectively utilized and aligned with our strategic goals.
• Evaluate and reassess data-related vendors and tools
• Contribute to the data strategy and make sure it’s aligned with Aivens goals

Requirements

What we’re looking for

• Cloud Infrastructure Expertise: At least 3 years of experience in deploying and managing production-level infrastructure on major cloud platforms (GCP, AWS, Azure)
• Advanced Data Engineering Skills: Proficiency in data modeling, SQL, and Python
• Production-level experience with Terraform and Docker
• Workflow Orchestration Tools: Experience with Airflow, Luigi, or Prefect
• Business Insight: Strong understanding of the business value of data engineering processes
• Growth mindset - you enjoy learning new things and are comfortable in a fast paced environment

What we value

• Machine Learning: Experience in productionizing machine learning models.

Benefits:

• An agile working environment with short decision paths
• Compensation for open-source contributions made in your free time
• Flexible working hours
• Choose the devices and tools that make you work the best
• Participation in employee stock option plan
• Office snacks, soft drinks, treats and fruits

Please note that benefits and perks may slightly differ depending on location.

You will be part of a highly-skilled, tight-knit team, making your contribution essential to what is becoming a great success story. If you are interested, please send us your application!

Equal Opportunities

Aiven provides equal employment opportunities to all qualified employees and applicants for employment without regard to age, gender identity, national or ethnic origin, religion, sexual orientation, physical and mental ability, marital and family status or without regard to any other similar personal attributes.

Aiven complies with applicable local laws governing non-discrimination in employment in every location in which the company operates. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, transfer, leaves of absence, compensation, training and any other terms and conditions related to employment.

At Aiven we are committed to providing reasonable accommodations for qualified individuals with disabilities or special needs in our working environment and job application procedures. We make all reasonable accommodations for persons with disabilities or who otherwise need support to thrive in the workplace. We are committed to continuously improving workplace accessibility. There is an option to request a discussion in the application process but if you have any questions before applying please reach out to