Analytics Engineer

Sensorfact

. Build, scale, and optimize data pipelines used by colleagues for data-driven decisions .

Posted 10/22/2026full-timeUtrecht • NetherlandsMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and optimizing data pipelines, utilizing tools such as Prefect and dbt on ClickHouse, while ensuring high-quality datasets through improved testing practices. Collaborates effectively with cross-functional teams to address business questions and drive AI adoption.

Highest-signal resume keywords

Data Pipeline DevelopmentStrong SQL SkillsCloud Data WarehousingData Orchestration ToolsCloud Platforms

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Hard Skills

Data Pipeline DevelopmentSQLData ModelingData TransformationData Quality AssuranceTesting PracticesVersion ControlCI/CDData IngestionData Monitoring

Soft Skills

Proactive Problem SolvingCollaborationIndependent Project ManagementEffective Communication

Tools & Technologies

PrefectDbtClickHouseMetabaseAWSGCPSnowflakeBigQueryAirflowDagster

Industry Keywords

Data EngineeringData WarehousingData VisualizationAI AdoptionData Governance

Tech Stack

Tools & technologies

AirflowAWSBigQueryCloudGoogle Cloud PlatformSQL

About the role

Key responsibilities & impact

Build, scale, and optimize data pipelines used by colleagues for data-driven decisions
Design pipelines to extract, load, transform, and monitor internal and external data sources
Build scalable pipelines with Prefect, model data with dbt on ClickHouse, and empower meaningful visualizations in Metabase
Standardize data ingestion into the data warehouse
Improve testing practices across data pipelines to ensure high-quality datasets and detect data changes proactively
Drive AI adoption through improved documentation, clearer semantics, and richer context
Collaborate with stakeholders to understand business questions, identify data gaps, and develop useful solutions
Work closely with data engineers, data analysts, and data scientists
Pick up projects independently and make pragmatic prioritization decisions
Participate in knowledge sharing, technical discussions, and code reviews

Requirements

What you’ll need

3+ years of experience building and maintaining production data pipelines
Strong SQL skills for writing readable and maintainable queries that leverage the underlying data architecture
Proactive and pragmatic approach to problem solving
Familiarity with cloud data warehouses such as ClickHouse, Snowflake, or BigQuery
Experience with data orchestration tools such as Prefect, Airflow, or Dagster
Familiarity with professional software engineering practices, including version control, merge requests, testing, code standards, and CI/CD
Experience with cloud platforms such as AWS or GCP

Benefits

Comp & perks

Work from home about 60% of the time
Regular meetings in the Utrecht or Amsterdam office
Knowledge sharing, technical discussions, and code reviews
Two-week sprints with planning, retrospectives, and daily standups
Collaboration and communication tools including Linear, Miro, Google Drive, Outline, and Slack