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.
NO SPONSORSHIP