Job Title: PySpark Data Engineer - Azure

Salary: up to £54,000

Mostly remote

About Us: Join our innovative team where PySpark expertise meets Azure ingenuity. We're passionate about leveraging data to drive business success and looking for a skilled Data Engineer to join us in delivering high-impact solutions.

Key Responsibilities:

• Develop secure, efficient data pipelines using PySpark for ingestion, transformation, and consumption within Azure.
• Ensure data quality and adherence to best practices throughout the pipeline life cycle.
• Design and optimise physical data models to meet business needs and storage requirements.
• Collaborate with cross-functional teams to deliver BI solutions and reporting structures using Power BI.

Experience & Qualifications:

• 2-5 years of experience in designing and implementing PySpark-based data solutions.
• Proficiency in SQL and Azure technologies (Data factory, Synapse).
• Strong understanding of data life cycle management and CI/CD principles.
• Experience working with large, event-based data sets in enterprise environments.
• Excellent communication skills with a passion for leveraging data to drive business value.

Skills & Attributes:

• Creative problem solver with a proactive and optimistic mindset.
• Strong time management and organisational skills, capable of handling multiple priorities.
• Enthusiastic team player committed to delivering shared outcomes.
• Ability to mentor and support less experienced engineers.
• Power Bi Knowledge a bonus

What We Offer:

• Competitive salary and benefits package.
• Opportunities for professional growth and advancement.
• A collaborative and supportive work environment where your ideas are valued.

Join Us: If you're ready to harness the power of PySpark and Azure to shape the future of data analytics, apply now! Let's make it happen together.