At a Glance
- Tasks: Lead the design and delivery of analytics-ready data in a Lakehouse environment.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Collaborative team culture with mentorship opportunities and career advancement.
- Why this job: Make an impact by transforming complex data into actionable insights.
- Qualifications: Strong experience in SQL, PySpark, and analytics engineering.
The predicted salary is between 59400 - 72600 £ per year.
We're looking for a Senior Analytics Engineer to lead the design and delivery of curated, analytics-ready data within our Lakehouse environment. You'll translate complex business requirements into robust SQL and PySpark pipelines, own the data serving layer, and ensure data is well-modelled, governed, performant and ready for consumption across analytics and BI. You'll also provide technical leadership and mentorship, helping to establish best practices across the team.
Key Responsibilities:
- Design and deliver dimensional and semantic data models for analytics.
- Define and maintain KPIs, conformed dimensions and consistent data definitions.
- Develop and optimise SQL and PySpark pipelines using Databricks.
- Ensure high standards of data quality, testing, performance and observability.
- Lead modelling reviews and contribute to technical and architectural decisions.
- Work closely with Data Architects, BI teams, analysts and business stakeholders.
- Mentor and support other Analytics Engineers.
- Contribute to CI/CD, automation, testing and data governance standards.
About You
Essential:
- Strong experience as an Analytics Engineer within a modern data platform environment.
- Expert-level SQL and strong hands-on PySpark experience.
- Strong understanding of dimensional modelling, semantic layers and analytics engineering.
- Proven experience with Databricks and Lakehouse architectures.
- Excellent stakeholder management and communication skills.
- Experience providing technical leadership or mentoring.
Desirable:
- Experience with Unity Catalog, dbt or similar transformation frameworks.
- Knowledge of Delta Lake, data governance and metadata management.
- Experience with CI/CD and automated testing.
Senior Data Engineer - Databricks - Pyspark - Dimensional Models - Unity Catalog - Kimball in London employer: Nexere Consulting Limited
As a Senior Data Architect at our company, you will thrive in a dynamic and collaborative work culture that prioritises innovation and professional growth. We offer competitive benefits, including flexible working arrangements and continuous learning opportunities, all set in a vibrant location that fosters creativity and teamwork. Join us to make a meaningful impact on our data strategy while advancing your career in a supportive environment.
