Data Engineer - Databricks (Newcastle or Erskine)

We're on a mission to harness the power of data to drive innovation and deliver transformative solutions. We're looking for a talented Data Engineer with deep expertise in Databricks to join our growing team and help shape the future of our data projects. This is a fantastic opportunity to work on cutting-edge AI and data engineering projects using the latest tools and technologies in a collaborative and innovative environment., * Build and maintain scalable data pipelines using Databricks.

• Manage and optimize Databricks Workspace, Clusters, Jobs, Repos, and Delta Live Tables.
• Develop modular ETL workflows using dbt and orchestrate them with Apache Airflow.
• Write advanced PySpark code, including UDFs and Pandas UDFs, for efficient data processing.
• Ensure data quality, reliability, and performance across all systems.
• Collaborate with data scientists, analysts, and engineers to deliver data solutions that support business goals.
• Contribute to the mentoring and development of junior team members.
• Support senior team members in identifying and addressing data science opportunities., * Work with a forward-thinking team on impactful AI projects
• Access to continuous learning and development opportunities
• Flexible working arrangements
• Inclusive and supportive company culture

At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We're committed to fostering an inclusive environment where everyone can thrive.

• Proven experience with Databricks and its ecosystem
• Strong proficiency in PySpark, especially with UDFs and Pandas UDFs
• Hands-on experience with dbt and Airflow
• Databricks Certified Data Engineer Associate certification or willingness to achieve one
• Excellent problem-solving skills and a passion for data and AI
• Bachelor's degree in a relevant field or equivalent combination of education and experience
• Typically, 6+ years of relevant work experience in industry, with a minimum of 2+ years in a similar role.
• Proficiencies in data cleansing, exploratory data analysis, and data visualization
• Continuous learner that stays abreast with industry knowledge and technology