Measurement Engineer

Cloudevo is a technology company working at the intersection of data, artificial intelligence and digital growth. Since 2018, we’ve helped leading organizations in Greece and internationally build data foundations they can trust, and use them to power smarter marketing, better products and AI-driven decisions.

Our work spans data engineering, analytics, machine learning, conversational AI, cloud architecture and performance marketing. We take on complex, high-stakes problems for companies and public-sector organizations where data quality really matters.

We are a team that values growth, empathy and ownership. We learn fast, challenge assumptions and build things that last.

The role

Measurement is changing fast. Browsers restrict cookies, privacy regulation tightens, and platforms rely more and more on modeled data. The companies that win are the ones that own their first-party data and know exactly how it flows.

As aMeasurement Engineer, you’ll design and build the measurement infrastructure behind that shift. You’ll own the full data lifecycle, from event design and collection to warehousing, modeling and activation, across a range of technologies and client environments. You’ll work alongside our data, AI and growth teams, and act as a trusted technical advisor to client stakeholders.

What you’ll do

• Architect end-to-end measurement strategies for web, apps and e-commerce, from tracking plans to reporting.
• Design and implementserver-side and first-party data collectionarchitectures that are resilient to browser restrictions and ad blockers.
• Lead migrations between tag management and analytics platforms with zero data loss.
• Buildconversion API integrationswith major ad platforms, including event deduplication and match-quality optimization.
• Designevent schemas and data contractsthat keep data consistent across teams and tools.
• Build pipelines intocloud data warehousesand model raw event data into analysis-ready datasets.
• Implementprivacy-by-designmeasurement: consent management, data minimization and regulatory compliance (GDPR, ePrivacy).
• Audit complex setups, find the root cause of data discrepancies and fix them for good.
• Explore how modeled conversions, AI and advanced attribution can close the gaps that deterministic tracking can’t.
• Turn technical work into clear insight and guidance for decision-makers.

Requirements

• [3+] years of experience in digital analytics engineering, tracking or measurement.
• Deep hands-on experience with at least one majortag management system(e.g. Google Tag Manager, Tealium, Adobe Launch).
• Proven experience buildingserver-side trackingin production environments.
• Strong experience with at least one majoranalytics platform(e.g. GA4, Adobe Analytics, Amplitude, Mixpanel, Piwik PRO).
• AdvancedSQLand experience with acloud data warehouse(e.g. BigQuery, Snowflake, Redshift, Databricks).
• SolidJavaScript; Python is a plus.
• Experience with at least onecloud platform(GCP, AWS or Azure).
• A solid grasp of browser privacy changes, consent frameworks and their impact on data.
• A rigorous, analytical mindset and the habit of questioning every number.
• Clear communication with both engineers and business stakeholders.
• Fluency in English; Greek is a plus.

Nice to have

• Experience withCDPsand event pipelines (e.g. Segment, RudderStack, Snowplow).
• Experience with data modeling and transformation tools (e.g. dbt, Dataform).
• Knowledge ofattribution modeling, incrementality testing or marketing mix modeling (MMM).
• Experience with BI tools (e.g. Looker, Power BI, Tableau, Looker Studio).
• Experience with reverse ETL and activating warehouse data into marketing platforms.
• Interest in applying AI and machine learning to measurement problems.
• Relevant certifications in analytics or cloud platforms.