Senior Data Platform Engineer
Smartly · Berlin, Berlin, Germany; Helsinki, Uusimaa, Finland
Posted 22 days ago
or apply directly on Smartly's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Smartly's roles stay open a median of 45 days
- Reposted
- No
- Salary listed
- No 22% of Smartly's roles list one
- Ghost-job risk at Smartly
- high 48 stale, 2 reposted of 76 open
- Hiring momentum
- 112 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Smartly's own greenhouse board since 2026-08-03. Full hiring picture for Smartly.
About this role
The Senior Data Platform Engineer at Smartly will design and build platform services and tools for data publishing and consumption, focusing on creating a standard path for data sharing across various teams. This role involves working with production systems, including PostgreSQL and Kafka, to enhance the data foundation and improve workflows for product engineers. The engineer will also be responsible for integrating metadata into DataHub and collaborating with multiple teams to streamline data processes.
- benefits
- 3/5
- freshness
- 4/5
- career value
- 5/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Smartly as an employer.
What you need
- 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.
Nice to have
- DataHub or other data catalog, lineage, or governance systems.
- Open table formats such as Apache Iceberg, object-store-backed data lakes, S3, BigQuery, ClickHouse, or analytical storage systems.
- GitHub Actions, policy-as-code, infrastructure-as-code, controllers, operators, or reconciliation-based systems.
- Data contracts, schema registries, Protobuf, Avro, JSON Schema, compatibility checking, field-level metadata, or contract testing.
- Experience supporting analytics, AI/ML, feature-store-style access patterns, or cross-domain product-service integrations.
What you get
- Meaningful technical work while growing with a global team.
- Inclusive global culture built on trust, transparency, open feedback, and respect for different perspectives.
- Global impact through technology used by major brands to plan, create, optimize, and understand digital advertising at scale.
- 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 that balances office collaboration with focused remote work.
Worth weighing
- No salary listed.
- Role involves significant collaboration across multiple teams, which may require strong interpersonal skills.
- The position emphasizes building a platform from the ground up, which may involve ambiguity and evolving requirements.
Summarised from Smartly's posting. Read the full original.
Listed by Smartly on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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