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Description:
Xiatech is seeking a Data Engineer to join their team in Fitzrovia, England.
The company promotes a work-life balance by allowing remote work and emphasizes high standards in business operations.
Xiatech has developed Xfuze, a Hyper-Integration Platform offering real-time system integration, a single view of data, and actionable insights.
The Data Engineer will collaborate with a cross-functional team to design and build features for the Xfuze platform, including real-time data pipelines and data warehouses.
Responsibilities include working on data quality engineering, implementing data pipelines, and mapping client data into the platform.
The role involves using technologies from partners like Amazon, Google, DataBricks, BigEye, and Tableau.
Requirements:
3+ years of experience in Data Engineering/Architecture or similar roles.
Proficiency in SQL and Python, with knowledge of Spark (PySpark) being a bonus.
Experience in building data warehouses and data lakes, ideally using BigQuery.
Familiarity with orchestration frameworks like Dataform, Airflow, and GCP Workflows.
Knowledge of cloud platforms, especially GCP services such as GCS, Cloud Functions, and Dataproc.
Experience with containerization and IaC tools like Docker, Kubernetes, and Terraform.
Previous work in an agile environment and familiarity with Scrum or Kanban methodologies.
Strong communication and presentation skills.
Nice to have: experience in the retail domain or with DataBricks.
Benefits:
Opportunity to work with cutting-edge technology and collaborate with industry experts.
Chance to contribute to ground-breaking impact for clients through data-driven solutions.
Remote work flexibility to support a healthy work-life balance.
Access to the latest technologies from partners like Amazon, Google, DataBricks, BigEye, and Tableau.
Continuous learning and improvement opportunities within the data engineering community.