Senior Data Engineer
Role details
Job location
Tech stack
Job description
The Sympower data team is dedicated to delivering forecasting services, business intelligence (BI) dashboards, and self-service data capabilities. We work in close collaboration with other Engineering Teams to seamlessly integrate data within the broader Sympower software ecosystem., As a Senior Data Engineer at Sympower, your primary focus will be on the technical integration of data. This entails the data infrastructure and integration pipelines of our Data Platform. While the foundational integration pipelines have been established, we are now seeking a skilled individual to expand and enhance this component. You will be responsible for building new and enhancing existing data integration pipelines, optimising the data infrastructure, and ensuring seamless integration (both input and output) within our software systems., * Integrate data from various internal and external sources from APIs, Apache Pulsar, (no)SQL databases.
- Develop batch and streaming data pipelines with the full Databricks stack, with a strong focus on software engineering best practices.
- Drive data architecture and coherent data modelling across our data platform.
You will work with the other roles in the data team (Machine Learning Engineers and Analytics Engineers) to deliver end-to-end data products to the other Sympower teams, the Sympower platform and our customers.
Requirements
- Strong software-engineering mindset, approach and skills (Python).
- Experience with git, CI/CD, testing frameworks, DevOps.
- Experience with building and improving data infrastructure, familiar with the Lake House concept and data cloud infrastructure.
- Experience with data integration and processing: Big data storage, processing, ELT (batch/streaming) development and optimisation in Pyspark or other frameworks.
- Knowledge of data modelling techniques, e.g. Kimball, Inmon, etc.
- Advocate of data architecture standards: high-level infrastructure/pipeline design, data flow diagrams, data models.
- Experience and affinity with mentoring and coaching other team members, helping them to grow.
- Experience driving a project from start to end, including planning, task breakdown, discussions with stakeholders and working together with product management.
- Challenging and steering the team's technical and product roadmap.
- Fluent in English and other languages are nice to have.
Nice to have:
- Experience and affinity with our current data team's tech stack: Python, Databricks, Spark, Delta Lake, Pulsar, ****Postgres, AWS
Benefits & conditions
We are committed to creating an inclusive, values-based culture where everyone feels that they belong and has the opportunity to do meaningful work. We offer a market competitive compensation package, including but not limited to:
- 30 Days Paid Holiday Leave
- 1 Day Paid Wellness Leave
- 1 Day Paid Birthday Leave
- Paid Maternity and Partner Leave
- Pawternity Leave
- Mental Health and Wellbeing Support
- Remote Office Budget
- Internet Allowance
- Development Plan & Budget
- Stock Appreciation Rights
- 2 Days Paid Volunteer Leave