Senior Data Engineer – 13461

Publiceringsdatum: 2025-10-03

Söker du efter ett jobb inom data/it-sektorn? Veritaz AB söker just nu efter en projektledare, it och du kan vara den de letar efter. Om du vill arbeta heltid hos Veritaz AB, har de just nu en tjänst 6 månader eller längre som kan passa dig.

Denna tjänst finns tillgänglig i ospecificerad arbetsort som är tjänsteorten. Veritaz AB söker för närvarande efter en person att anställa inom projektledare, it-branschen. Ta en titt på deras lediga tjänst för att se om något av dem passar just dig. Låt Veritaz AB hjälpa dig att uppnå dina karriärmål som projektledare, it! Ansök seast söndag den andra november 2025.

Jobbannons

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.

Assignment Description

We are looking for a Senior Data Engineer to join our dynamic team.

What you will work on

• Own and maintain BigQuery data models and Dataform transformations, including partitioning/cluster strategies, incremental models, materialized views, snapshots, and tests
• Improve and operate end-to-end data pipelines on GCP with strong observability, monitoring, alerts, and cost dashboards
• Design clean data marts (star schemas, conformed dimensions) for self-service analytics and Power BI
• Optimize SQL quality and performance: enforce partition predicates, review query plans, reduce bytes scanned, and tune costs (reservations, BI Engine, materializations)
• Build robust Power BI models and dashboards, including semantic layers, incremental refresh, and coach analysts on best practices
• Develop schema-aware SQL templates, maintain a metric catalog, implement RLS/allowlisted views, and manage evaluation harnesses for safe report generation
• Document models, lineage, and decisions clearly through readmes, diagrams, and playbooks

What you bring

• SQL expertise, ideally in BigQuery: window functions, partitioning/clustering, table decorators, EXPLAIN, maximum_bytes_billed, materialized views
• Strong dimensional data modeling skills: facts/dimensions, SCDs/snapshots, grain discipline, data mart design
• Experience with dbt or Dataform on BigQuery: incremental models, tests, exposures, and documentation
• Power BI skills: semantic modeling, DAX, relationships, incremental refresh, RLS, and strong dashboarding sense
• Python experience for ELT/operations (Cloud Run/Functions, orchestration glue, dbt/CLI automation)
• Familiarity with GCP data services: BigQuery, Cloud Storage, Pub/Sub, and basics of Composer/Airflow
• Kubernetes experience: design and implement infrastructure, including pods, containers, and Docker images to support data science models
• Focus on data quality and reliability: freshness, completeness, referential/accepted values, alerting, and runbooks