Data Engineer at Xiatech

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Data Engineer Xiatech. . About us. Here at Xiatech, we believe that a great work-life balance leads to a contented and productive team. We enable all our teams to work remotely in order that they enjoy the flexibility and freedom to work at a time and place convenient to their lifestyle. Of course, when it comes to the serious stuff of doing business, everyone at Xiatech makes themselves available and delivers to a high standard.. Using the latest in Open Source, Microservices, Big Data, and Cloud technologies, Xiatech has developed Xfuze, an innovative Hyper-Integration Platform.. Xfuze (. https://www.xiatech.co.uk/platform/hyper-integration-platform/). provides organisations with three core capabilities in a single platform:. . Real-time system integration. . Real-time, single view of data. . Real-time, actionable insights, including predictive analytics. . The Role. This role is an opportunity to join a fast-growing UK-based organisation that believes in using the latest cutting-edge technology. You will have the chance to collaborate with some of the brightest minds in the industry who harness the power of data to provide ground-breaking impact for our clients.. As a Data Engineer at Xiatech you will be designing and building new features for our Xfuze Hyper-Integration and Advanced Analytic Platforms as part of a cross-functional team, including real-time data pipelines, data lake/warehouses, and other innovative tooling.. This role will report to the Engineering Manager and work closely with the business team to understand client requirements and map their data into our platform. You will also work closely with our data science and insights team to enrich customer data and build out different data views to support visualisations.. Apply today to join our dynamic team and start working with the very latest technologies from our partners at Amazon, Google, DataBricks, BigEye, and Tableau.. Key Responsibilities. . Work as part of a cross-functional squad to deliver new features using agile methodologies.. . Design and build data warehouses and data lakes.. . Implement data pipelines and complex data flows.. . Model and map client data, build views and materializations for BI/analytics.. . Data Quality engineering, implementing patterns that clean and enrich data in reliable ways.. . Contribute to peer reviews and engineering tooling, such as dataflow and terraform.. . Work with clients to analyse requirements and implement solutions.. . Help the company continuously improve by contributing to the wider data engineering community, as well as your squad.. . Your Knowledge & Experience. . 3+ years experience in Data Engineering/Architecture (or similar).. . Knowledge of different data tooling and data stores.. . Proficiency in SQL & Python.. . Experience working with Spark (. PySpark. ) or similar,. . Building data warehouses & data lakes (Ideally BigQuery).. . Developing real-time Data/. ETL. pipelines.. . Orchestration frameworks such as Dataform, Airflow, and GCP Workflows.. . Cloud platforms, especially GCP services such as GCS, Cloud Functions, and Dataproc.. . Familiarity with containerization and IaC tools (e.g. Docker, Kubernetes, Terraform).. . Worked within an agile environment (Scrum, Kanban, etc).. . Previous experience in the retail domain or DataBricks is nice to have.. . Excellent communication and presentation skills.. . Your Personality. . Innovative. . Driven. . Resilient. . Insightful. . Empathetic. . Analytical. . Self-Starter. . Creative. . Problem solver. . If you would like the opportunity to join an established UK-based Software as a Service organisation who believe in using the latest leading-edge technology to drive business growth, please enquire now by emailing [email protected].. If you receive an offer of employment, this will be conditional upon satisfactory completion of a right to work & identity check, a reference check and a basic criminal record check for any unspent convictions.. Xiatech is proud to be an equal opportunity employer and prohibits discrimination and harassment of any kind.. .