Data Engineer

Zencastr
Portugal
Workplace: RemoteFull timeFunction: Data Analytics & Business IntelligenceExperience: 2-5 yearsSkills: ["Cross-functional collaboration","Data quality focus","Problem-solving"]

Build and maintain data systems that power analytics and reporting across the organization. Design reliable data pipelines and ETL/ELT workflows to transform operational data into analytics-ready datasets, and develop scalable data models, data marts, and star-schema fact/dimension tables. Improve data quality, governance, and accessibility, while monitoring pipeline performance and optimizing storage and warehouse query efficiency. Partner with analysts and stakeholders to evolve data needs as the company grows.

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FursaFursa
Zencastr
Zencastr
3 hours ago

Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Build and maintain data systems that power analytics and reporting across the organization. Design reliable data pipelines and ETL/ELT workflows to transform operational data into analytics-ready datasets, and develop scalable data models, data marts, and star-schema fact/dimension tables. Improve data quality, governance, and accessibility, while monitoring pipeline performance and optimizing storage and warehouse query efficiency. Partner with analysts and stakeholders to evolve data needs as the company grows.
Location: Portugal
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key Responsibilities

  • •Design, build, and maintain data pipelines and transformation workflows that turn operational data into analytics-ready datasets.
  • •Develop scalable data models and data marts for reporting and business analysis.
  • •Implement and manage data ingestion and event streaming workflows to ensure consistent, high-quality upstream data flows.
  • •Ensure data quality, validation, and consistency standards across systems.
  • •Monitor and optimize pipeline performance, reliability, and cost efficiency within the analytics environment.

Key Requirements

  • •2–5 years of experience in data engineering, analytics engineering, or a closely related role.
  • •Strong proficiency in SQL and experience with operational databases (e.g., MongoDB) and analytical warehouses (e.g., BigQuery, Redshift, PostgreSQL, Snowflake).
  • •Experience building reliable ETL/ELT pipelines that transform raw application data into analytics-ready datasets.
  • •Experience with data ingestion/event streaming platforms (e.g., RudderStack, Segment, Kafka, Kinesis, Kinesis, Pub/Sub).
  • •Hands-on experience with modern data transformation/modeling frameworks (e.g., dbt, Dataform) and warehouse transformation layers.
Experience:2-5 yearsData engineeringAnalytics engineering
Skills:Cross-functional collaborationData quality focusProblem-solving
Tech Stack:SQLMongoDBBigQueryRedshiftPostgreSQLSnowflakeETLELTRudderStackSegmentKafkaKinesisPub/SubDbtDataformData modelingStar schemaData martsEvent streaming

Company Brief

Zencastr
Provides a browser-based podcast and remote interview recording platform that captures high-quality multitrack audio and video locally, syncs files to the cloud, and offers production tools to simplify podcast creation and post-production.
Industry: Influencer & Creator Economy
WebsiteLinkedIn