2 months ago
Helsinki, Finland or Berlin, GermanySenior
Responsibilities
- Design and build platform services, tools, and workflows for contract-driven data publishing and consumption.
- Build the production path for PostgreSQL publishing tables, Debezium CDC, Kafka topics, and DataHub catalog registration.
- Create code-reviewed and reconciled workflows for contracts, schemas, ownership, lifecycle, compatibility, policies, and runtime state.
- Develop tooling that provides product engineers with fast feedback before publishing or changing data products.
- Define data-product models, publishing contracts, schema evolution, deletion semantics, access policies, lineage, and cost attribution.
- Operate and improve CDC runtimes, including Kubernetes workloads, isolation, offsets, schema history, heartbeats, signals, lag visibility, replay, resnapshotting, and recovery.
- Integrate platform metadata into DataHub for discovery, ownership, lineage, and impact analysis.
- Collaborate with product, infrastructure, data engineering, analytics, and AI/ML teams to improve shared-data workflows.
Requirements
- Strong experience building and operating production software systems, preferably in platform, infrastructure, backend, or data-intensive environments.
- Deep understanding of distributed-systems trade-offs including reliability, idempotency, replay, eventual consistency, compatibility, ownership boundaries, and operational failure modes.
- Practical experience with PostgreSQL or other relational databases, including schema design, migrations, transactions, replication, or operational performance.
- Experience with Kafka, event streaming, CDC, Debezium, or adjacent data-movement technologies.
- Experience building software used by other engineers, such as CLIs, internal platforms, control planes, automation, CI validation, developer tooling, or self-service workflows.
- Familiarity with Kubernetes and cloud or infrastructure platforms, including runtime isolation, deployment, observability, and operational ownership.
- Ability to turn ambiguous architectural direction into practical increments and deliver useful production systems.
- Clear written and spoken communication in English.
- Useful but non-required experience includes DataHub or other data catalogs, lineage or governance systems, Apache Iceberg, S3, BigQuery, ClickHouse, GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, contract testing, analytics, AI/ML, feature-store-style access patterns, and JVM languages or Python, TypeScript, Go, or Ruby.
Benefits
- Inclusive global culture with trust, transparency, feedback, and respect for different perspectives.
- Global impact through technology used by major brands in digital advertising.
- Wellbeing support, paid holidays, family leave, and sustainable ways of working.
- Equity options, performance-based rewards, competitive compensation, and career development opportunities.
- Flexible hybrid workplace with three days per week in the office.
Tech Stack
Categories
BackendData Engineering
About Smartly
Smartly builds an AI-driven advertising platform used by brands and agencies to create, manage, and optimize ads across Facebook, Instagram, TikTok, Google, Pinterest, and other major media platforms. It sells subscription software and managed services for creative automation, campaign optimization, and reporting. Founded in 2013 and headquartered in Helsinki, the company is owned by Providence Equity Partners and reports managing $5B in annual ad spend for 700+ brands and over 800 billion impressions.