At a Glance
- Tasks: Design and implement scalable ETL/ELT pipelines using Databricks and PySpark.
- Company: Join 9nexus, a forward-thinking tech company focused on data solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement potential in the data engineering field.
- Why this job: Make an impact by optimising data solutions and collaborating with diverse teams.
- Qualifications: Experience with Databricks, PySpark, and Azure services is essential.
The predicted salary is between 60000 - 80000 £ per year.
9nexus is seeking a data engineer to design and implement scalable ETL/ELT pipelines using Databricks and PySpark. You will build and optimize Delta Lake and PostgreSQL data solutions, model data for analytics, and integrate Azure services including ADLS, ADF, Key Vault, and Azure Monitor.
The role involves developing data marts, dashboards with Apache Superset, and ensuring robust data quality, CDC, and CI/CD processes while collaborating with cross-functional teams to deliver secure, scalable solutions.
Senior Data Engineer: Databricks, Delta Lake & Azure employer: 9NEXUS
At 9nexus, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the chance to work with cutting-edge technologies in a vibrant location. Join us to be part of a team that values your contributions and supports your professional journey in the dynamic field of data engineering.
