Analytics Engineer

Sensorfact, Europe's #1 smart monitoring platform for industry, is looking for an Analytics Engineer at its Utrecht office. The role involves building, scaling and optimizing data pipelines that colleagues use daily to make data-driven decisions, and building a deep understanding of the company's drivers and how it works. The analytics team is small, works in 2-week sprints, and shares knowledge and reviews each other's code. The team works from home about 60% of the time and meets in the Utrecht or Amsterdam offices regularly. Sensorfact has partnered with ABB, a global leader in electrification and automation.

Responsibilities

Build, scale and optimize data pipelines used by colleagues for data-driven decisions; Design pipelines that extract, load, transform and monitor data from internal and external sources; Build scalable pipelines with Prefect that extract data from external sources, model it with dbt on Clickhouse, and enable meaningful visualisations in Metabase; Standardise how data gets ingested into the data warehouse; Raise the bar on testing practices across all data pipelines; Drive AI adoption through improving documentation, clearer semantics and richer context; Work closely with stakeholders to understand their questions, spot gaps in data and determine what would genuinely help

Requirements

3+ years of experience building and maintaining production data pipelines; Strong SQL skills that allow you to write readable and maintainable queries that leverage the underlying data architecture; Proactive and pragmatic approach to problem solving; Familiarity with cloud data warehouses like Clickhouse, Snowflake or BigQuery; Experience with data orchestration tools like Prefect, Airflow or Dagster; Familiar with professional software engineering practices (version control, merge requests, testing, code standards, CI/CD); Experience with cloud platforms like AWS, GCP