Multiple Openings Data Platform Engineer (GCP) | Cloud Data Infrastructure

About this job

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring 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. Job Overview Assignment Description We are looking for a Senior Data Platform Engineer for a technical assignment focused on assessing and improving an existing data and system landscape. The initial focus is to conduct a structured inventory and mapping of an existing data tool used across the organisation. You will analyse current solutions, data flows, integrations, use cases, and dependencies, while identifying opportunities for improvement and further development. You will work closely with the Data Platform team and various technical and business stakeholders. This is a hands-on role requiring strong experience in data engineering, data platforms, and cloud infrastructure. What You Will Work On Inventory and map existing data and system solutions. Analyse data flows, integrations, dependencies, and use cases. Identify improvement opportunities and technical debt. Structure and document data, pipelines, and integrations. Contribute to data pipeline development, ingestion, and orchestration. Work with data quality, governance, and data access. Provide technical recommendations on architecture and platform development. Collaborate with Data Engineers, Analytics Engineers, Data Scientists, and other stakeholders. Contribute to the continuous improvement of the data platform and technical practices. What You Bring Several years of experience as a Data Engineer, Data Platform Engineer, or in a similar role. Strong experience with data pipelines and data infrastructure. Experience with Google Cloud Platform (GCP). Experience with Airflow, Cloud Composer, or equivalent orchestration tools. Experience with BigQuery or similar cloud data warehouses. Strong Python skills. Experience with Terraform or equivalent Infrastructure as Code tools. Experience with CI/CD and version control. Understanding of data governance, data quality, and data access. Experience with data security and compliance. Ability to independently drive technical challenges from analysis to solution. Strong communication and stakeholder collaboration skills. Fluent Swedish is mandatory Meritorious Experience mapping and assessing complex data and system landscapes. Experience integrating SaaS and data tools with central data platforms. Experience with ELT and reverse ETL. Experience establishing data structures, governance, and best practices.

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