Senior Data Engineer with GCP
YOUR ITEAMS sp. z o.o.
This is a classic data engineering role focused on building and maintaining data pipelines on Google Cloud Platform using BigQuery, Airflow, Terraform, and SQL. You will design ELT pipelines following the Bronze-Silver-Gold architecture, implement data ingestion from various sources (SFTP, APIs, databases), and create dimensional models with SCD handling. The role also involves optimizing BigQuery performance, setting up data quality checks, and supporting migration from legacy systems like Teradata. You work remotely for an outsourcing company that places engineers on client projects, likely in the e-commerce or fintech domain given the mention of NetSuite and PSPs.
Brakuje: team size and composition, on-call frequency and expectations.
This is a classic data engineering role focused on building and maintaining data pipelines on Google Cloud Platform using BigQuery, Airflow, Terraform, and SQL. You will design ELT pipelines following the Bronze-Silver-Gold architecture, implement data ingestion from various sources (SFTP, APIs, databases), and create dimensional models with SCD handling. The role also involves optimizing BigQuery performance, setting up data quality checks, and supporting migration from legacy systems like Teradata. You work remotely for an outsourcing company that places engineers on client projects, likely in the e-commerce or fintech domain given the mention of NetSuite and PSPs.
- ✓Remote work with clear description of responsibilities and tech stack
- ✓Detailed data architecture approach (Bronze-Silver-Gold with ELT, dimensional modeling, quality checks)
- ✓Support for professional training & courses (mentioned in benefits)
- ✓Integration trips and well-being activities offered
- !Outsourcing company – projects may vary and you might be assigned to different clients
- !'TEAL culture' and 'no bureaucracy' could mean less process and structure, which may not suit everyone
- !No mention of team size or how many projects you’ll be involved in
- •Design and implement SQL-based ELT pipelines (Bronze → Silver → Gold) using BigQuery
- •Ingest data from external sources (SFTP, APIs, NetSuite, PSPs) into raw BigQuery layers
- •Build dimensional models – fact and dimension tables with SCD type 2 and surrogate keys
- •Develop and maintain Airflow DAGs for orchestration, scheduling, and monitoring
- •Implement data quality checks (row counts, reconciliation, validations) integrated with pipelines
- •Optimize BigQuery performance and cost via partitioning, clustering, and query tuning
- •Manage schema evolution and deployments using CI/CD with GitHub, Jenkins, Flyway, Terraform
- •Support migration from legacy systems by running parallel tests and reconciliation
Oferta dla doświadczonych specjalistów (Senior).
A data engineer with at least 3 years of experience, proficient in SQL and one programming language (Python preferred), with some exposure to GCP and Airflow. They are eager to deepen their skills in BigQuery and Terraform and can communicate well in English.
Junior engineers with less than 2 years of experience, or those without any GCP or BigQuery background. Also not for people who dislike remote work or prefer a structured, hierarchical environment.
- ?How large is the data engineering team I would join?
- ?What client or project will I be working on – is it a single project or multiple?
- ?What is the expected on-call rotation or after-hours support?
- ?Are there any legacy systems (like Teradata) that I will need to migrate from?
- ?How does the TEAL culture work in practice – what decision-making autonomy do engineers have?
- −Team size and composition
- −On-call frequency and expectations
- −Details about the recruitment process (stages, timeline)
- −Length of engagement or project duration
Flat, autonomous TEAL culture with emphasis on respect, relationships, and non-corporate atmosphere. Agile approach with minimal bureaucracy. Remote-first with occasional integration trips.