We are looking for a Staff Engineer to join team Aqueduct, a team building our data platform for powering large-scale cross-platform advertising. Our ideal candidate is a seasoned professional who has experience in designing, implementing and managing data platforms and pipelines that are scalable, reliable and efficient.

For our customers, ensuring their data is available and composable can:

• unlock the potential of creative automation with image and video templates
• power agentic workflows that utilise the data
• allow analysis of the relationship between product data and ad performance.

Being able to sync our customers’ product data across multiple advertising channels consistently and with minimal delays ensures that:

• the ads consumers see have the latest information
• products that are out of stock are not advertised
• regulatory requirements are met

The team currently has a backend written in Ruby on Rails, and we own small parts of the frontend written in TypeScript and React. We’re moving our data systems from Ruby to a language and architecture better suited for the workload and capable of scaling with our growth. We're looking for an expert to lead the build and design of this new platform using the right tools for the job.

Projects you get to work with

• Design and build a large scale data storage and processing system that needs to process billions of records per day
• Drive the long term architecture and engineering excellence inside the team by coaching and mentoring other engineers
• Collaborate with stakeholders from across the organization: engineering, product and business
• Define and monitor SLAs, and follow SRE best practices to ensure the stability and availability of the system
• Build APIs for internal and external consumers of the data
• Affect the ROI for billions of dollars in ad spend

What We Are Looking For

• 8+ years of industry experience
• Strong programming skills (e.g., Python, Scala and/or Java)
• Deep experience with data processing frameworks (e.g., Spark, Flink, Databricks, Snowflake, BigQuery, Redshift, ClickHouse)
• Familiarity with streaming systems (e.g Kafka, Kinesis)
• Expertise in SQL and some RDBMS (PostgreSQL, Citus, etc.)
• Experience with orchestration tools (e.g., Airflow, Argo)
• Experience with data governance tools (e.g., OpenMetadata, GreatExpectations, Apache Atlas, dbt)
• Solid understanding of distributed systems and cloud platforms (AWS/GCP/Azure)
• Proven track record of designing large-scale data systems
• Experience in technical leadership and mentoring other engineers
• Experience with Ruby on Rails is considered a plus
• Ability to work in a hybrid capacity from our Helsinki office 3 days a week 

What We Offer You

At Smartly, we offer a place where you can advance your career. Here, you'll find:

An Inclusive Global Culture: Join a team of over 750 Smartlies, representing more than 60 nationalities across 24 locations in 13 countries. We cultivate a culture built on trust, transparency, and open feedback, where diverse perspectives are valued and encouraged.

Global Impact: Contribute to a company making a global impact, directly influencing our customers' success and business growth.

Focus on Wellbeing: We prioritize your health with healthcare packages, mental health services, and a commitment to work-life balance through paid holidays and family leave.

Comprehensive Rewards: Benefit from equity options, performance-based rewards, competitive compensation, and career development opportunities.

Flexible Hybrid Workplace: Experience a hybrid work model, balancing office collaboration with remote work, and the option to work abroad for up to 30 days annually.

Smartly is committed to being a great place for growth-minded individuals to thrive. Explore more in our Culture Handbook!

Apply Now and Build Your Future with Smartly!

Curious what it’s like to work at Smartly? Visit our Careers page to see how we grow, collaborate, and make impact together

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