Data Engineer

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 (Hyper-Integration Platform - Xiatech) provides organisations with three core capabilities in a single platform:

1. Real-time system integration

2. Real-time, single view of data

3. 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 contribute to the design, implementation and architecture of our product. Be responsible for expanding and optimising data and pipeline landscapes, and for optimising data collection and flow across functional teams.

This role will report to the Engineering Manager and work closely with Software Developers, other Data Engineers and Data Analysts on data initiatives and ensure a consistent data delivery architecture is put in place throughout ongoing projects. The right candidate will be a seasoned data professional with hands-on technical experience across the Azure stack.

Key Responsibilities

• Develop a deep understanding of data assets and how they can be leveraged to support business decision-making.
• Analyse, implement, test and deliver robust data models, pipelines and workflows.
• Assure that data is cleansed, mapped, transformed and optimised for storage and querying according to business and technical requirements
• Drive a migration from a legacy data infrastructure to a new one whilst also balancing BAU and maintenance.
• Deliver on Data Architecture, Security, Data Lifecycle Management, Cataloguing, pipelines and all other aspects of development that are in the roadmap.
• The ability to deploy production-ready code via code-control systems and an appreciation of the delivery (with unit testing, continuous integration, versioning etc.)
• Ensure code and data quality, best practices
• Implement monitoring and cost management
• Define create and maintain technical/data documentation

Your Knowledge & Experience

• 5+ years’ work data engineering, with experience in Data Modelling
• 2+ years of work experience with Azure, including Data Factory and Synapse
• Work experience with SQL, Python, C, including Spark
• Experience working with Databricks would be beneficial
• Essential to have Apache PySpark experience
• Familiarity with modern DevOps practices (including Azure DevOps, Git and CI/CD)
• Exposure to data architecture, security, modelling, cataloguing, life cycle management will be beneficial.
• SQL skills and experience with stored procedures on MS SQL Server
• Microsoft SQL Server
• Experience in GCP and/or AWS.

Your Personality

• Energetic & driven
• Innovative
• Resilient
• Insightful
• Creative
• Problem solver
• Sound judgement
• Analytical
• Capacity to learn

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 maddie@xiatech.co.uk

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.