обновлено 6 дней назад
Senior Data Platform Engineer (Kafka)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Platform Engineer (Kafka/PostgreSQL): Building a governed data-sharing platform with an accent on contract-driven publishing, PostgreSQL CDC, Kafka, and DataHub metadata. Focus on operating reliable Kubernetes-based CDC workflows, designing schema and ownership controls, and enabling engineering teams to publish reusable data products safely.
Location: Berlin, Germany or Helsinki, Finland. Flexible hybrid workplace with 3 days per week in the office.
Company
is an AI-powered advertising technology company building a platform that helps brands create, manage, optimize, and understand digital advertising across major media platforms.
What you will do
- 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 GitOps-style workflows that validate and reconcile contracts, schemas, ownership, lifecycle, compatibility, policies, and runtime state as code.
- Develop tooling that gives product engineers fast feedback before publishing or changing data products.
- Operate and improve CDC runtimes, including Kubernetes workloads, isolation, offsets, schema history, lag visibility, replay, resnapshotting, and recovery.
- Work with product, infrastructure, data engineering, analytics, and AI/ML teams to establish safer, reusable data-sharing patterns.
Requirements
- Strong experience building and operating production software systems in platform, infrastructure, backend, or data-intensive environments.
- Deep understanding of distributed-systems trade-offs, including reliability, idempotency, replay, eventual consistency, 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 tools used by other engineers, such as CLIs, internal platforms, control planes, automation, CI validation, or self-service workflows.
- Familiarity with Kubernetes and cloud or infrastructure platforms, plus clear written and spoken English for cross-team alignment.
Nice to have
- Experience with DataHub or other data catalog, lineage, and governance systems.
- Knowledge of Apache Iceberg, S3, BigQuery, ClickHouse, or other analytical storage systems.
- Experience with GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems.
- Experience with data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, or contract testing.
- Experience with JVM languages, Python, TypeScript, Go, or Ruby.
Culture & Benefits
- Inclusive global culture based on trust, transparency, open feedback, and respect.
- Work on advertising technology used by major brands and media platforms worldwide.
- Wellbeing support, paid holidays, family leave, and sustainable ways of working.
- Equity options, performance-based rewards, competitive compensation, and career development opportunities.
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