06.11.2026

DataOps Specialist (Cloud Engineering)

GCP, BigQuery, CI/CD

AI ROOTS DATA CASE

Join a large enterprise organization’s data platform team as a GCP DataOps Specialist, helping build an AI-assisted reliability capability for their Google Cloud data platform — hundreds of BigQuery load pipelines on Cloud Composer, streaming ingestion, and the Looker/Power BI layers that read from them.

Start

01.12.2026, ASAP

Duration

6 months

Location

Hybrid, Helsinki

Allocation

100%

In this role, you will:

Make production data pipelines observable and dependable — freshness and volume checks, data quality scans, alerting with clear ownership, and runbooks for recurring faults.
Turn manually run or experimental data pipelines into scheduled, monitored production pipelines running under service accounts, with CI/CD.
Build and run the reliability components on GCP: Cloud Run services, log sinks and BigQuery telemetry datasets, scheduled jobs and their IAM, all in Terraform.
Collect operational signals from BigQuery job history, Cloud Logging, Cloud Composer, and Dataplex into a common event model, using least-privilege access.
Take part in incident analysis with the team — find root causes from job history and logs, and turn findings into checks and fixes in code.
Work with the platform and data engineering team through pull requests, building an AI-assisted reliability capability that maps a pipeline failure’s impact to the reports and users downstream and helps the team find and fix the cause faster.

You will thrive if:

You have at least 5 years in data or cloud engineering, including at least 2 years running production workloads on GCP.
You have production Terraform experience on GCP — IAM, service accounts, BigQuery, Cloud Run, Pub/Sub, logging and monitoring resources.
You have strong BigQuery and SQL skills, including INFORMATION_SCHEMA job history, partitioning, and cost-aware design.
You have production experience with Airflow (Cloud Composer) and Python.
You’re experienced with monitoring and alerting on GCP — Cloud Monitoring, Cloud Logging, log-based metrics, and alert policies.
You work with a Git-based workflow including code review and CI/CD (GitHub Actions).
Nice-to-have: You ideally hold a recent Finnish security clearance (turvallisuusselvitys), completed within the last one to two years — a recent clearance significantly speeds up Supo approval and shortens the time before production access is granted.
Nice-to-have: Dataplex (data quality scans, catalog, lineage) and the Data Lineage API, VPC Service Controls and IAM design for multi-project environments, SRE practices (SLOs, error budgets, incident reviews), experience building LLM/agent-based tooling (e.g. Vertex AI) in an operational setting, and Dataflow/Datastream or other streaming/CDC ingestion experience are all a plus
Nice-to-have: Finnish language skills (not hard requirement)

This assignment supports a large enterprise organization’s Google Cloud data platform and AI-assisted reliability capability build-out. It’s expected to start as soon as possible, targeting December 2026, running 6 months full-time, hybrid in Helsinki. Candidates should be prepared to share their CV, hourly rate, earliest start date, security clearance status (and completion date), and two relevant project references.

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