Senior Data Platform Engineer at Smartly | AdTechTalent
EngineeringRecentlyRemote
Smartly
Senior Data Platform Engineer
data platformPostgreSQLKafkaDebeziumDataHubKubernetesGitOpsdistributed systemsevent streamingCDCplatform engineeringbackenddata engineeringAI/MLschema evolutioncontract-driven datadeveloper tooling
Key details
Salary
Not specified
Employment type
Full-time
Seniority
Senior
Years experience
5-10
Location
Berlin, Germany; Helsinki, Finland
Full job description
Senior Data Platform Engineer role at Smartly to design and build platform services for governed data sharing across product services, analytics, and AI/ML. Responsibilities include building PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration; creating GitOps-style workflows; building developer tooling; defining data product models; operating CDC runtime including Kubernetes workloads; integrating platform metadata into DataHub; and collaborating with multiple teams. Requirements include strong experience in production software systems, distributed systems, PostgreSQL, Kafka, Debezium, developer tooling, Kubernetes, and clear English communication. Useful but not required experience includes DataHub, open table formats, GitHub Actions, data contracts, and JVM languages or Python, TypeScript, Go, Ruby. Benefits include inclusive culture, global impact, wellbeing support, equity options, competitive compensation, career development, and a flexible hybrid workplace with 3 days in office. Locations: Berlin, Germany and Helsinki, Finland.
What you'll do
Design and build platform services, tools, and workflows for contract-driven data publishing and consumption
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Build the first production path for platform-managed PostgreSQL publishing tables, Debezium CDC, Kafka topics, and catalog registration
Create GitOps-style workflows where contracts, schemas, ownership, lifecycle, compatibility, policy metadata, and runtime desired state are reviewed, validated, and reconciled as code
Build tooling that gives product engineers fast feedback before they publish or change data products
Help define how Smartly models data products, publishing contracts, schema evolution, field stability, deletion semantics, access policy, lineage, and cost attribution
Operate and improve the CDC runtime model, including Kubernetes workloads, source-specific isolation, offsets, schema history, heartbeats, signal channels, lag visibility, replay, resnapshotting, and recovery
Integrate platform metadata into DataHub so engineers can discover data products, understand ownership, trace lineage, and reason about the impact of changes
Work with product, infrastructure, data engineering, analytics, and AI/ML teams to make the standard path easier and safer than bespoke point-to-point integrations
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: reliability, idempotency, replay, eventual consistency, ownership boundaries, compatibility, 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 that other engineers use: 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, make trade-offs explicit, and deliver useful production systems without waiting for perfect certainty
Inclusive global culture built on trust, transparency, open feedback, and respect for different perspectivesGlobal impact through technology used by major brands to plan, create, optimize, and understand digital advertising at scaleWellbeing support, paid holidays, family leave, and sustainable ways of workingEquity options, performance-based rewards, competitive compensation, and career development opportunitiesA flexible hybrid workplace that balances office collaboration with focused remote work (3 days a week from the office)
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